| Paper ID |
IJIFR/V14/E1/025
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| Author |
Kanuri Viveka, B V Raju Institute of Technology, Narsapur
Kamakshi Gaur, B V Raju Institute of Technology, Narsapur
Bolli Jeevan, B V Raju Institute of Technology, Narsapur
J. Visalakshi, B V Raju Institute of Technology, Narsapur
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| Paper Title |
AI-Powered Procurement Corruption Detection and Risk Analysis System
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| Subject Category |
Computer Science / Information Science
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| Abstract |
Public procurement suffers significant losses due to corruption and fraud annually, which affects the overall trust that citizens have towards the system. Current auditing methodologies have limited capabilities such as manual reviews of documents or rule-based anomaly detection. This project contributes to the field with an integrated system that learns the distribution of normal procurements and detects anomalous records, utilizing a combination of Natural Language Processing, Graph Intelligence, and Isolation Forest-based anomaly detection as a unified pipeline. Extracting relevant information from tender documents, detecting vendor and official relationships, and analyzing financial records and invoices are all parts of the auditing process which, when detected as anomalous, provide a risk score to auditors. An interactive dashboard offers an overview and explanation of the detected case for further investigation by the auditors.
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| Keyword |
AI, Procurement Corruption, Anomaly Detection, NLP, Risk Analysis, Machine Learning
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| Paper ID |
IJIFR/V14/E1/024
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| Author |
A. Hosseinzadeh,
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| Paper Title |
AI-Augmented Proactive Cyber-Detection and Mitigation of Cybersecurity Threats in the Banking Sector
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| Subject Category |
Computer Networks Engineering
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| Abstract |
enabling intelligent data management and information sharing while exposing institutions to risks such as
system compromise, data breaches, and unauthorised access (Duque & Omar, 2015). In response, financial
security emphasises confidentiality, integrity, and availability of stored data. Ensuring business continuity
requires resilient, affordable security systems that reduce economic and organisational impact of cyberattacks
(Von Solms & Van Niekerk, 2013). One framework, the System of Systems (SoS), integrates multiple security
systems to identify evolving risks and implement proactive defence mechanisms.
Traditional cybersecurity measures within the banking sector include Device management via consistent
updates; Organisational risk management; and Investment in employee training. Abdulrahman (2020) notes
popular strategies by financial executives to lower cyber risks mandatory awareness training and allocating
sufficient funds for security. Skills shortages among cybersecurity employees, particularly in technical expertise
and communication, remain a significant challenge. The incorporation of AI into cybersecurity strategies reduces
errors and expenses while enhancing security. Banks employ ML, deep learning (DL), and natural language
processing (NLP) to detect and prevent cyber threats. The Decision Tree model demonstrated superior performance, achieving an
accuracy rate of 99.98%, perfect precision and recall, zero false positives, and only thirteen false negatives. These results
underscore its capacity to deliver highly accurate, real-time threat detection while minimising operational disruptions caused
by false alarms. Its transparent decision-making process enhances explainability, supports regulatory compliance, and fosters
institutional trust, factors that are critical in financial cybersecurity. The findings validate the viability of interpretable, highperformance
machine learning models for the real-time detection and mitigation of advanced cyberthreats, including
Distributed Denial-of-Service (DDoS) attack patterns. Future research should prioritise scaling the simulation framework to
encompass more complex financial network topologies, integrating adaptive online learning capabilities, and incorporating
explainable artificial intelligence (XAI) techniques to investigate whether enhanced model interpretability improves threat
detection accuracy and analyst response times.
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| Keyword |
Machine learning, Cybersecurity, Cyberattacks, Financial networks, Banking sector
|
|
| Paper ID |
IJIFR/V14/E1/023
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| Author |
K. Vanitha Bharathi
Kousalya Radhakrishnan
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| Paper Title |
An Explainable AI-Driven Framework for Early Ransomware Detection Using Behavioral Anomaly Analysis and Ensemble Machine Learning
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| Subject Category |
Computer Engineering
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| Abstract |
Ransomware has evolved into a dynamic cybersecurity threat capable of disrupting information systems through malicious encryption, abnormal system activity, and unauthorized network behavior. Conventional signature-based and heuristic detection approaches may face limitations when confronted with previously unseen or rapidly evolving ransomware variants. This study proposes an artificial intelligence (AI)-driven ransomware detection framework that integrates behavioral feature extraction, anomaly detection, and supervised machine learning to distinguish ransomware activity from legitimate system behavior. The framework utilizes behavioral characteristics derived from system logs, network traffic, and file metadata, including abnormal file-access patterns, process execution behavior, network communication characteristics, and file modification activities. Isolation Forest is employed to identify anomalous behavioral patterns, while Random Forest is used to classify detected activities as benign or ransomware. Model performance is assessed using accuracy, precision, recall, F1-score, false-positive rate, and k-fold cross-validation. The reported experimental results demonstrate that the Random Forest classifier achieved 97.8% accuracy, 96.5% precision, 98.2% recall, and a 97.3% F1-score, while the Isolation Forest achieved a 95% detection rate with a 3.2% false-positive rate. Five-fold cross-validation produced an average training accuracy of 97.9%, validation accuracy of 96.9%, precision of 98.0%, and recall of 97.3%. Comparative results further indicate higher reported performance than the signature-based and heuristic baselines evaluated in the study. The findings demonstrate the potential of combining behavioral anomaly detection with ensemble classification to support early identification of ransomware activity and strengthen adaptive cybersecurity monitoring.
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| Keyword |
Ransomware Detection; Artificial Intelligence; Machine Learning; Anomaly Detection; Isolation Forest; Random Forest; Behavioral Analysis; Cybersecurity; Network Traffic Analysis; Threat Detection.
|
|
| Paper ID |
IJIFR/V14/E1/022
|
| Author |
Anitha Kanan, Rajalakshmi Engineering College (REC), Thandalam, Chennai
J V S. Usharani, Rajalakshmi Engineering College (REC), Thandalam, Chennai
Tiyara M Jose, Rajalakshmi Engineering College (REC), Thandalam, Chennai
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| Paper Title |
The Role of Artificial Intelligence and Machine Learning in Detecting and Preventing Ransomware Attacks
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| Subject Category |
Computer Engineering
|
| Abstract |
The mechanics of ransomware attacks typically follow a predictable pattern. In most cases, ransomware is introduced to the target system via phishing emails, which trick users into downloading a malicious attachment or clicking on a malicious link. Once the ransomware is installed on the system, it may lay dormant for some time, scanning the network for other vulnerable machines or valuable data. In some cases, attackers use advanced techniques to disable security features, like antivirus programs, before the ransomware activates.The research
highlights key AI and ML methodologies, such as anomaly detection, supervised learning algorithms, and natural
language processing (NLP), that help cybersecurity systems improve accuracy in identifying malicious activity.
Furthermore, the paper discusses the integration of AI-driven systems in incident response frameworks and the
advantages these technologies offer in automating defenses against ransomware. Despite the promise of AI and ML in
enhancing cybersecurity, challenges such as false positives, adversarial attacks, and ethical considerations in AI
deployment are also discussed.
|
| Keyword |
machine learning, anomaly detection, malware signatures, predictive models, cybersecurity, adversarial attacks, incident response
|
|
| Paper ID |
IJIFR/V14/E1/021
|
| Author |
MONIKA MEHRA
|
| Paper Title |
Representation of Lord Rama as a Cultural Revival in The Indian Express: A Cultural and Media Study
|
| Subject Category |
Humanities
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| Abstract |
After the Babari Masjid demolition, there was a surge in articles about Lord Rama as a Hindu deity.Although nationalist leaders like Mahatma Gandhi proclaimed Lord Rama as God of all, the name of God as Truth,and Swami Vivekananda described Rama as"the ancient idol of the heroic ages."Debate over Lord Rama's ideological construction and representation has continued for centuries. This discursive construction of Lord Rama needs to be analysed through the lens of culture and media studies, as culture and media are the soul of any society.Drawing on Michael Foucault's concept of discourse, archive,episteme and discontinuity, and Stuart Hall's theory of representation, this paper examines the discursive representation of Lord Rama in the selected articles published by The Indian Express around the consecration of the Ram Temple in Ayodhya in January and February 2024. The study demonstrate the media representation through its interpretive lens participates in the cultural revival through headlines and opinion articles so that readers can understand the relationship among faith, memory,culture, national identity and citizenship. Through a qualitative close reading of selected articles, this paper concludes that the media, through its recurring representation of Rama as a cultural and civilizational figure, aims to enhance cultural imagination among the masses.
|
| Keyword |
Lord Rama, Discursive Construction, Michael Foucault, Stuart Hall, Media, and Cultural Revival
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|
| Paper ID |
IJIFR/V14/E1/020
|
| Author |
NAGESWARI B, Dr.N.G.P Arts and Science College
RAKESHWARI M, Dr.N.G.P Arts and Science College
ELAVARASI R, Dr.N.G.P Arts and Science College
NIVETHA M, Dr.N.GP Arts and Science College
|
| Paper Title |
“DEVELOPMENT OF A CONFECTIONERY PRODUCT FORTIFIED WITH PROTEIN-RICH MILKY MUSHROOM (CALOCYBE INDICA) AND FIBER-RICH KORAIKILANGU (CYPERUS ROTUNDUS)”
|
| Subject Category |
Food science
|
| Abstract |
The increasing demand for nutritious and functional foods has encouraged the development of value-added food products with enhanced health benefits. Conventional confectionery products are mainly consumed for taste and convenience but are often limited in essential nutrients such as protein and dietary fibre. This review focuses on the development of a fortified confectionery product using protein-rich milky mushroom (Calocybe indica), fibre-rich koraikilangu (Cyperus rotundus), and wheat flour as a base ingredient. Milky mushroom contributes high-quality protein, minerals, and bioactive compounds, whereas koraikilangu provides dietary fibre and phytochemicals with functional properties. Wheat flour supports product structure and texture development. The combination of these ingredients offers potential for improving the nutritional quality, antioxidant properties, and functional value of confectionery products. This review highlights the nutritional significance and application potential of these ingredients in the development of healthier confectionery products.
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| Keyword |
Functional food, Fortified confectionery, Milky mushroom, Calocybe indica, Koraikilangu, Cyperus rotundus.
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| Paper ID |
IJIFR/V14/E1/019
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| Author |
Mrs A. Ajitha, Research Scholar, Bharathiar School of Management and Entrepreneurship Development, Bharathiar University, Coimbatore 641046.
Dr. V. Ramanujam, Research Supervisor, Bharathiar School of Management and Entrepreneurship Development, Bharathiar University, Coimbatore 641046.
|
| Paper Title |
Migrant Entrepreneurship in the FinTech Era: A Conceptual Review of Financial Opportunities and Emerging Risks
|
| Subject Category |
Entrepreneurship
|
| Abstract |
Financial technology (FinTech) is reshaping the way financial services are accessed, delivered and used by individuals and businesses. This transformation has particular relevance for migrant entrepreneurs, who may operate with limited access to established financial networks and conventional financial institutions. Digital payments, online banking, digital credit, savings and insurance services can provide greater flexibility in managing business-related financial activities. At the same time, increasing dependence on digital financial platforms may expose migrant entrepreneurs to emerging concerns related to cybersecurity, data privacy, digital financial literacy, indebtedness, trust and unequal access to technology. Against this background, this paper presents a conceptual review of the financial opportunities and emerging risks associated with FinTech in migrant entrepreneurship. The study is based entirely on secondary sources and brings together literature relating to FinTech, digital financial inclusion, entrepreneurial finance and migrant entrepreneurship. The review focuses on two dimensions of the FinTech environment: the opportunities it can create for financial access, transaction efficiency, business financing and entrepreneurial development, and the risks that may restrict or undermine these benefits. The paper further draws on the Technology Acceptance Model, financial capability perspective and Resource-Based View to provide a theoretical basis for understanding the interaction between digital financial resources, user capabilities and entrepreneurial activities. Based on the synthesis of existing literature, a conceptual framework is proposed that presents FinTech as a two-sided phenomenon involving financial opportunities and emerging risks for migrant entrepreneurs. The paper contributes to the existing literature by bringing these dimensions together and identifying areas for further research on responsible, inclusive and sustainable FinTech-enabled migrant entrepreneurship.
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| Keyword |
FinTech; Migrant Entrepreneurship; Digital Finance; Digital Financial Inclusion; Financial Opportunities; Emerging Risks; Entrepreneurial Development
|
|
| Paper ID |
IJIFR/V14/E1/018
|
| Author |
Dr. S. THILAGAVATHY, Vellalar College for Women (Autonomous), Erode, Tamil Nadu.
R. JEEVITHA, Vellalar College for Women (Autonomous), Erode, Tamil Nadu.
|
| Paper Title |
Functioning and Socio-Economic Experiences of Beneficiaries in Michaelpalayam Periyar Ninaivu Samathuvapuram, Erode District: A Field-Based Study
|
| Subject Category |
MODERN HISTORY OF TAMILNADU
|
| Abstract |
The Periyar Ninaivu Samathuvapuram scheme was introduced by the Government of Tamil Nadu with the objective of promoting social equality through planned residential arrangements and shared civic facilities. Tamil Nadu has 238 Samathuvapurams, developed mainly during two phases, 1997–2001 and 2008–2011. Five Samathuvapurams were established in Erode District. The present study focuses on Michaelpalayam Samathuvapuram and examines its local-level functioning through field observation, beneficiary interviews, interviews with local officials and examination of available records. Particular attention is given to housing and beneficiary allotment, civic amenities, administrative practices, the village library, Anganwadi services, community facilities, social interaction and reported socio-economic experiences. The field evidence indicates continued residential and community functioning, while also revealing changes in the utilization and maintenance of certain facilities and specific needs for further local development. The study interprets the functioning and development of Michaelpalayam Samathuvapuram through field-based evidence, highlighting the experiences of its residents and the practical functioning of the settlement at the local level.
|
| Keyword |
Beneficiary allotment, Erode District, Field study, Michaelpalayam, Periyar Ninaivu Samathuvapuram, Social equality.
|
|
| Paper ID |
IJIFR/V14/E1/017
|
| Author |
Indumathi T
Padmapriya S
|
| Paper Title |
Assessing Cybersecurity Risks in Networked Power-System Protection: A Function-Centred Framework for Digital Substations
|
| Subject Category |
Computer Networks Engineering
|
| Abstract |
The increasing deployment of intelligent electronic devices (IEDs), digital relays, merging units, remote terminal units, automation controllers and networked engineering systems has transformed modern substations into tightly integrated cyber-physical environments. While protocols such as IEC 61850 MMS, GOOSE and Sampled Values enhance interoperability, automation and operational visibility, their interconnected architecture introduces cyberattack pathways that can propagate from digital components to protection, control and physical power-system functions. This paper presents a structured critical review of cybersecurity risk assessment approaches for networked power-system protection and automation and develops a function-centred cyber-physical risk assessment framework. The synthesis integrates NIST operational-technology guidance, electricity-sector risk-management practices, IEC 62351 security mechanisms, NERC Critical Infrastructure Protection principles and peer-reviewed research addressing digital-substation vulnerabilities. The review demonstrates that conventional information-security risk scoring may inadequately represent scenarios in which device compromise influences protection-trip decisions, blocks or manipulates protection messages, falsifies measurements, disrupts time synchronisation or generates common-mode operational failures.
|
| Keyword |
Cybersecurity Risk Assessment; Power-System Protection; Intelligent Electronic Devices; IEC 61850; IEC 62351; Digital Substations; Operational Technology; Cyber-Physical Security; Protection Automation; Critical Infrastructure Security
|
|
| Paper ID |
IJIFR/V14/E1/016
|
| Author |
Rakesh K.
Antika Chaudhry
|
| Paper Title |
Blockchain-Enabled Cybersecurity for Intelligent and Connected Systems: A Comprehensive Framework for Secure, Trustworthy and Resilient Digital Environments
|
| Subject Category |
Computer Engineering
|
| Abstract |
The rapid proliferation of Internet of Things (IoT), artificial intelligence, big data, and interconnected digital platforms has created unprecedented opportunities for intelligent information processing while simultaneously expanding the cybersecurity threat landscape. Conventional centralized security architectures increasingly face challenges associated with single points of failure, data integrity, unauthorized access, privacy preservation, and trust management across heterogeneous and distributed environments. Blockchain technology has emerged as a promising decentralized paradigm capable of strengthening cybersecurity through tamper-resistant data management, distributed consensus, cryptographic verification, traceability, and trustless interaction. This study presents a comprehensive conceptual assessment of blockchain-enabled cybersecurity mechanisms for intelligent and connected systems, synthesizing insights from contemporary research on blockchain, IoT, data-intensive computing, and secure information infrastructures. The study examines the applicability of blockchain for secure data sharing, identity and access management, transaction integrity, decentralized authentication, privacy protection, and attack resilience. Particular attention is given to the integration challenges associated with scalability, computational overhead, interoperability, latency, regulatory requirements, and resource-constrained IoT environments. The analysis indicates that blockchain can provide a robust trust and integrity layer for distributed digital ecosystems when appropriately integrated with cryptographic techniques, intelligent security mechanisms, and adaptive network architectures. The study further proposes a conceptual framework linking decentralized trust, secure data exchange, identity management, privacy preservation, and threat mitigation to overall system resilience. The findings contribute to the emerging cybersecurity literature by highlighting the strategic potential and practical limitations of blockchain-based security architectures and by identifying directions for future research toward scalable, privacy-preserving, and intelligent cybersecurity ecosystems.
|
| Keyword |
Blockchain Technology; Cybersecurity; Internet of Things; Data Security; Decentralized Systems; Privacy Preservation; Secure Data Sharing; Identity Management; Distributed Ledger Technology; Cyber Resilience
|
|
| Paper ID |
IJIFR/V14/E1/015
|
| Author |
V Sharma
|
| Paper Title |
Evaluating Network Security Vulnerabilities Contributing to Cybercrime and the Effectiveness of Cybersecurity Technologies in India: An Analytical Assessment of Cyber Threats and Security Responses, 2024 –August 2026
|
| Subject Category |
Computer Engineering
|
| Abstract |
India's accelerated digitalisation has substantially expanded the scale, interconnectedness, and strategic importance of digital infrastructure while simultaneously increasing exposure to cyber threats. This study evaluates network-security vulnerabilities and the effectiveness of contemporary cybersecurity technologies in India using recent secondary evidence covering 2024, 2025, and January–August 2026. The study adopts an analytical research design and integrates official evidence from the Indian Computer Emergency Response Team (CERT-In), Ministry of Home Affairs (MHA), Indian Cybercrime Coordination Centre (I4C), National Cyber Crime Reporting Portal (NCRP), and Government of India parliamentary and policy publications. CERT-In-reported cybersecurity incidents increased from 20,41,360 in 2024 to 29,44,248 in 2025, representing a 44.2% year-on-year increase. Financial-fraud complaints reported through NCRP increased from 19,18,835 in 2024 to 24,02,579 in 2025, while the amount reported declined marginally from ?22,848 crore to ?22,495 crore. By 30 June 2026, CFCFRMS had reportedly helped save more than ?11,158 crore across over 32.80 lakh complaints, while I4C's Suspect Registry had received more than 30.48 lakh suspect identifiers and incorporated 32.08 lakh Layer-1 mule accounts, with transactions worth ?25,698 crore declined. Current-period threat intelligence shows a shift toward credential-centric, cloud-oriented and identity-based attacks. In June 2026, CERT-In reported large-scale exposure of FortiGate administrative and VPN credentials, while in August 2026 it issued a critical advisory concerning targeted Microsoft 365 attacks involving password spraying, device-code phishing, OAuth abuse, session-token compromise and Business Email Compromise. The findings indicate that cybersecurity effectiveness cannot be attributed to a single technology. Instead, resilient defence requires coordinated deployment of identity security, MFA, vulnerability management, endpoint and network detection, application security, cloud security, AI-assisted threat intelligence, data protection, incident response, and recovery capabilities. The study proposes an India-specific Integrated Cybersecurity Resilience Framework (ICRF) linking vulnerabilities, threats, technologies, institutional response, and resilience outcomes.
|
| Keyword |
Cybersecurity; Cybercrime; Network Security; India; CERT-In; I4C; Cyber Fraud; Vulnerability Management; Microsoft 365; Ransomware; Artificial Intelligence; Zero Trust; Cyber Resilience
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|
| Paper ID |
IJIFR/V14/E1/014
|
| Author |
T V Krishamoorthy, CMR College of Engineering & Technology, Hyderabad/Bhagyanagar, Telangana, India
R J. Lakshmi, CMR College of Engineering & Technology
|
| Paper Title |
ACCELERATING AI ADOPTION ACROSS INDUSTRIES TO IMPROVE PRODUCTIVITY AND EFFICIENCY
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| Subject Category |
Computer Engineering
|
| Abstract |
To assess AI’s potential for India, a detailed analysis was conducted on its ability to enhance productivity across industries. The study covered over 850 occupations across 16 sectors and examined more than 2,100 distinct work activities. The analysis indicates that AI adoption could contribute an additional $500–600B to India’s GDP by 2035, beyond the projected growth trajectory, driven by productivity improvements, operational efficiencies, and the reallocation of human effort to higher-value tasks.
AI-skilling ecosystem, AI Open University, national certification program. Specific adoption scenario models were considered (i.e., the pace at which industry adopts the technology at scale, resulting in impact on productivity)—early, midpoint, and late—to estimate when AI could effectively take on these activities based on currently demonstrated technologies and their expected development in the future and country-specific factors such as wage levels and occupational mix. The model incorporates software capabilities such as machine learning, data analytics and hardware-driven automation such as robotics.
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| Keyword |
AI-skilling ecosystem, AI Open University, national certification program
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| Paper ID |
IJIFR/V14/E1/013
|
| Author |
Subathra L, Dr. NGP Arts and Science College
Dr. D. Sridevi, Dr. NGP Arts and Science College
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| Paper Title |
Banana peel and biomass valorization: Nutritional, bioactive, functional-food and nanocellulose perspectives for circular bioeconomy
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| Subject Category |
Banana Peel and Biomass Valorization
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| Abstract |
Banana (Musa spp.) is one of the world most important globally produced and consumer fruits, and its production and processing system generates immense amounts of side biomass in the forms of peel, pseudo stem, leaves, rachis, inflorescence, and rejected fruit. The peel itself makes up ~30-40% of the entire weight of the fruit, is usually wasted, and contains adequate amounts of dietary fibre, pectin, resistant starch, minerals, phenolic compounds, carotenoids, and lignocellulosic materials. This review combines and contrasts the latest evidence for utilization of banana peel and relevant banana by-products, from global, Indian, and Tamil Nadu scale production and waste, through nutritional, physicochemic, and phytochemical properties, up to its applications in biological systems, nutraceutical and functional foods, down to two relatively poorly synthesized and inter-connected themes: cellulose and nanocellulose recovery/utilization and systematic research overview of existing and emerging research themes versus continued challenges. Special attention is given to the emerging uses of cellulose nanocrystals, cellulose nanofibres and bacterial nanocellulose from Musa spp. biomass (especially peel, pseudostem, rachis) in Pickering emulsion stabilization and smart biodegradable active packaging. Critically, the literature is analyzed from both pre-clinical, clinical, evidence-based and conventional nutritional perspectives while also discussing challenges related to clean extraction, integrated biorefining, nanocellulose based systems and product stability, toxicity evaluation and regulations at an industrial scale, and practical, circular bioeconomy-oriented solutions for major banana producing regions like India, especially Tamil Nadu.
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| Keyword |
Musa spp., agro-industrial by-products, nutraceuticals, nanocellulose, circular bioeconomy
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|
| Paper ID |
IJIFR/V14/E1/012
|
| Author |
Dr. Asmita Pravin Tayade, Bharatiya Jain Sanghata’s Arts, Science and Commerce College, Wagholi, Pune
|
| Paper Title |
Responsible Generative Artificial Intelligence in Higher Education: Educational Value, Academic Integrity and Ethical Governance
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| Subject Category |
Education
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| Abstract |
Generative artificial intelligence (GenAI) has quickly become relevant to university teaching, learning, assessment and research. Its capacity to generate explanations, examples, summaries, code, feedback and other forms of content creates opportunities for personalised learning, teaching support and research assistance, while simultaneously intensifying concerns about academic integrity, reliability, privacy, bias, equity and institutional accountability. This paper addresses a specific gap in the emerging literature: existing reviews have mapped applications and risks, but fewer studies integrate educational value, academic integrity, AI literacy, assessment redesign and institutional governance into one operational framework for responsible adoption. A PRISMA 2020-aligned systematic literature review protocol was developed to identify, screen and thematically synthesise recent scholarship and policy evidence on GenAI in higher education. The synthesis is organised around five interacting domains: educational value, AI literacy, academic integrity and assessment, data/algorithmic responsibility, and institutional governance. The review indicates that the value of GenAI is conditional rather than automatic: benefits are strongest when AI augments learner agency and professional judgement, whereas risks increase when generated output substitutes for learning, bypasses verification or is used without adequate governance. On the basis of the synthesis, this paper proposes the Responsible GenAI Adoption Framework (ReGA-HED), linking five institutional capacities—AI literacy, human oversight, integrity-by-design assessment, privacy and equity safeguards, and adaptive governance—to educational outcomes. The framework provides a practical bridge between policy principles and day-to-day teaching, assessment and research decisions. The paper concludes with implications for higher education institutions and a focused research agenda for empirical validation.
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| Keyword |
Generative artificial intelligence; higher education; systematic literature review; PRISMA 2020; AI literacy; academic integrity; assessment redesign; privacy; equity; ethical governance
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|
| Paper ID |
IJIFR/V14/E1/011
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| Author |
Dr.B.Rajesh Kumar, Sri krishna arts and science college coimbatore
M.Alfhiya, Sri krishna arts and science college coimbatore
A.Subhashitha, Sri krishna arts and science college coimbatore
|
| Paper Title |
Explainable and Trustworthy Artificial Intelligence (XAI)
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| Subject Category |
Artificial Intelligence and Machine Learning
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| Abstract |
Artificial Intelligence (AI) has become an integral part of decision-making across healthcare, finance, education, manufacturing, transportation, and public services. Despite achieving remarkable predictive performance, many AI models—particularly deep learning systems—operate as "black boxes," making it difficult for users to understand how decisions are made. Explainable and Trustworthy Artificial Intelligence (XAI) addresses this challenge by developing models and techniques that provide transparent, interpretable, and reliable explanations while maintaining high accuracy and performance.
This conference theme invites original research on methods, frameworks, and applications that improve the transparency, fairness, robustness, and accountability of AI systems. Topics include explainable machine learning, interpretable deep learning, fairness and bias mitigation, uncertainty estimation, causal AI, human-centered AI, privacy-preserving AI, responsible AI governance, and evaluation metrics for explainability and trust. Contributions demonstrating real-world applications of XAI in healthcare, cybersecurity, finance, smart cities, autonomous systems, and education are particularly encouraged. The objective of this track is to foster research that builds AI systems that are not only intelligent and accurate but also transparent, ethical, and trustworthy for widespread adoption in society.
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| Keyword |
Explainable AI, Trustworthy AI, Interpretability, Deep Learning, Fairness, Bias Mitigation, Uncertainty Estimation, Causal AI, Human-Centered AI, Privacy-Preserving AI, Responsible AI Governance
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|
| Paper ID |
IJIFR/V14/E1/010
|
| Author |
CHINNU RAJAN, Research scholar,Research and PG department of commerce,Government Arts College,Thiruvananthapuram,[email protected],9446514306
Dr Manjula K G, Associate Professor& Research supervisor,PG department of commerce,VTM NSS college,Dhanuvachapuram,[email protected],9645001516
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| Paper Title |
THE ROLE OF SEAFOOD RESTAURANTS IN PROMOTING SUSTAINABLE MARINE RESOURCE UTILIZATION ; A SYSTEMATIC LITERATURE REVIEW
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| Subject Category |
commerce
|
| Abstract |
The rising strain on fisheries, marine ecosystems, biodiversity, and seafood supply chains has made the sustainable use of marine resources a major global problem. The role of seafood restaurants as downstream actors capable of influencing sustainable seafood procurement and consumption has received relatively little attention, despite the fact that sustainable fisheries and seafood production have been the subject of much research. The significance of seafood restaurants in encouraging sustainable marine resource utilisation is examined in this comprehensive literature review, which also highlights the main practices, procedures, difficulties, theoretical stances, and research gaps in the body of current literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) standards were used in conducting the review. Using predetermined search terms pertaining to seafood restaurants, sustainable seafood, marine resource utilisation, responsible sourcing, certification, traceability, consumer behaviour, and sustainable restaurant practices, pertinent literature was methodically found thru major academic databases. Pre-established inclusion and exclusion criteria were used to screen the studies, which were then critically evaluated for methodological quality and synthesised using descriptive and thematic methodologies. Overall, the research identifies seafood restaurants as significant market intermediaries that have the capacity to link sustainable consumption with ethical seafood production and directly support the accomplishment of Sustainable Development Goal 14 (Life Below Water).
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| Keyword |
seafood restaurants, sustainable seafood, marine resource utilization, sustainable procurement, seafood sustainability traceability and SDG 14
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|
| Paper ID |
IJIFR/V14/E1/009
|
| Author |
SAMEER KHASNIS, Shri T P Bhatia College of Science
|
| Paper Title |
AN INDO-GREEK AXISExpanding the Pedagogical Framework of the HSC Class XIIHistory of the Novel CurriculumA Comparative and Pedagogical Study
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| Subject Category |
Research Paper
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| Abstract |
This is primarily done with the intention to incorporate epics like the Greek Odyssey and The Ramayana and The Mahabharata for giving our young students the core of Moral values, strategical Management system and Scientific acumen.
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| Keyword |
Xii unit 4, History of Novel, Odyssey, Ramayana,Mahabharata
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| Paper ID |
IJIFR/V14/E1/008
|
| Author |
Dr. Narendra K. Shukla, Gyan Ganga Institute of Technology & Sciences Jabalpur (M.P)
Miss Simran Kesharwani, Gyan Ganga Institute of Technology & Sciences Jabalpur (M.P)
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| Paper Title |
A Review Study On Consumer Buying Behaviour & Purchase Decision Making In Supermarket
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| Subject Category |
Marketing
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| Abstract |
Consumer buying behaviour in supermarkets has become an important area of study due to the rapid growth of organized retailing, changing consumer lifestyles, urbanization, and technological advancements. This review paper examines the various factors influencing consumer buying behaviour towards supermarkets and analyzes purchase decision patterns based on previous empirical studies. The study reviews 40 research papers published in national and international journals related to supermarket shopping behaviour, customer satisfaction, store preference, promotional strategies, pricing, service quality, product assortment, convenience, and demographic influences. The review identifies key determinants such as pricing strategies, product quality, promotional offers, store atmosphere, convenience, customer service, brand image, and technological integration as major factors affecting supermarket purchase decisions. The findings indicate that consumer behaviour is dynamic and strongly influenced by socio-economic and psychological factors. The paper concludes that supermarkets must focus on customer-centric strategies, digital transformation, personalized services, and experiential retailing to maintain competitive advantage and enhance customer loyalty.
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| Keyword |
Consumer Buying Behaviour; Supermarkets; Purchase Decision; Pricing Strategy; Customer Satisfaction.
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|
| Paper ID |
IJIFR/V14/E1/007
|
| Author |
Dr. V. Meera, Department of Commerce, NGM College, Pollachi, Tamil Nadu, India
|
| Paper Title |
The Empowerment–Precarity Paradox in India’s Gig Economy: A Conceptual Framework with Pollachi as a Semi-Urban Contextual Lens
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| Subject Category |
Commerce
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| Abstract |
The expansion of digital labour platforms has altered the organization of work by separating the experience of flexibility from the security traditionally associated with employment. This conceptual paper develops an empowerment–precarity framework to explain why platform work can simultaneously increase workers’ perceived control and reproduce economic and institutional vulnerability. Rather than treating flexibility, autonomy and income opportunity as direct indicators of empowerment, the paper argues that empowerment is conditional: it depends on whether workers can convert platform-enabled choice into durable agency, adequate and predictable earnings, voice, and protection against occupational and income risks. The argument is developed through a structured integrative synthesis of foundational scholarship on psychological empowerment, precarious work, platform capitalism and algorithmic management, complemented by India-specific evidence from government reports, labour-policy documents and recent studies of platform work. The synthesis identifies four empowerment resources—schedule control, economic participation, task-level autonomy and access to digital markets—and four precarity mechanisms—income volatility, algorithmic control, risk transfer and weak collective/institutional protection. Their interaction produces a contingent form of empowerment described here as “protected autonomy.” The paper further argues that the Indian context matters because platformisation develops within a large informal labour market and an evolving social-protection regime. Pollachi is therefore repositioned from an implied empirical study site to a semi-urban contextual lens through which the framework can be applied in future field research. Eight propositions are developed and a conceptual model is proposed linking platform-enabled resources, algorithmic governance, worker capabilities, precarity and sustainable empowerment. The paper concludes with differentiated theoretical, managerial and policy implications and proposes a future empirical agenda for testing the framework in Pollachi and comparable semi-urban locations.
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| Keyword |
Gig Economy; Platform Work; Worker Empowerment; Precarity; Algorithmic Management; Social Protection; Semi-Urban India; Pollachi
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| Paper ID |
IJIFR/V14/E1/006
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| Author |
J. Jayachithra, Alagappa University College of Education
M. Monicka, Alagappa University College of Education
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| Paper Title |
Socio-Economic and Educational Challenges of Nomadic Communities in Tamil Nadu: Policy Gaps and Strategies for Inclusive Development
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| Subject Category |
Education
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| Abstract |
Nomadic communities in Tamil Nadu represent some of the most marginalized populations, facing unique challenges due to their migratory lifestyle, limited educational opportunities, unstable livelihoods, and insufficient social protection. Despite the existence of various policies aimed at promoting inclusive development, these communities continue to encounter significant barriers in accessing education, healthcare, and employment. This paper examines the socio-economic and educational status and highlights critical challenges such as poverty, irregular employment, inadequate housing, and pressing educational challenges, including low literacy rates and high dropout rates of nomadic people in Tamil Nadu. Furthermore, it examines key policy initiatives, including the Right to Education Act, NEP 2020, and Samagra Shiksha, identifies implementation gaps, and proposes practical strategies through community participation, enhanced outreach, and adaptable educational models. The paper argues that sustainable development for these communities requires inclusive policies and robust collaboration among the government, educational institutions, and civil society. By working together, we can ensure equitable opportunities and advance social justice for all.
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| Keyword |
Nomadic Communities, Educational Inclusion, Socio-economic Development, Policy Implementation, Tamil Nadu, Marginalized Communities, Sustainable Development
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| Paper ID |
IJIFR/V14/E1/005
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| Author |
Dr.T.S.Kavitha, NGM College, Pollachi, Tamil Nadu, India.
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| Paper Title |
Digital Learning Preparedness and Technology Engagement among Higher Education Students: An Empirical Study
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| Subject Category |
Commerce and Management
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| Abstract |
The rapid integration of digital technologies into higher education has transformed the ways in which students search for information, access learning resources, communicate with teachers and participate in technology-enabled learning. However, access to digital resources alone does not necessarily ensure effective engagement with digital learning. The present study examines the digital learning preparedness of higher education students by analysing their engagement with commonly used digital learning resources, the challenges experienced in technology-enabled learning, and the relationship between digital literacy and academic performance. Primary data were collected from 564 higher education students in Coimbatore District. Descriptive statistics, mean ranking, Pearson correlation, independent samples t-test, one-way ANOVA and simple linear regression were employed for analysis. The demographic analysis indicated no statistically significant differences in digital literacy across the groups examined. The findings suggest that effective digital learning requires more than technological access; it requires digital capability, reliable infrastructure, affordable resources, appropriate training and effective academic integration of digital technologies. The study provides implications for higher education institutions seeking to develop more inclusive and effective digital learning environments.
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| Keyword |
Digital learning, technology engagement, higher education, digital preparedness, digital resources, digital literacy
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| Paper ID |
IJIFR/V14/E1/003
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| Author |
J. M. Mahadevan, S. M. Laxmi, J N U, New Delhi
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| Paper Title |
Analysis of the impact of DARQ technologies for multiplying the dynamics of progressive business and reduce the complexities of corporate practices.
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| Subject Category |
Business Management and IT
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| Abstract |
The recent wave of technological innovation has the potential to be more disruptive in a shorter period of time than past technologies. The digital saturation of reality has granted companies with exceptional capabilities. They can understand their customers with a new depth of granularity. They have more channels than ever to reach those consumers. New technologies are catalysts for change, offering businesses extraordinary new capabilities. Distributed ledger technology, artificial intelligence, extended reality, and quantum computing will be the next set of new technologies to spark a step change, letting businesses reimagine entire industries. New technologies are catalysts for change, offering extraordinary new business capabilities when applied appropriately. During the digital revolution, social, mobile, analytics, and cloud (SMAC) combined to enable one such step change. Distributed Ledger Technology (DLT), Artificial Intelligence (AI), Extended Reality (XR) and Quantum Computing technologies let businesses understand their partners and consumers at unprecedented depth, and together, SMAC helped companies create major differentiators.
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| Keyword |
Distributed Ledger Technology (DLT), Artificial Intelligence (AI), Extended Reality (XR) and Quantum Computing (QC)
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| Paper ID |
IJIFR/V14/E1/001
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| Author |
Dr.J. Vijimol, Head of the Department, Department of Commerce Computer Application, Sri Krishna Knowledge Foundation (Deemed to be university), Coimbatore
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| Paper Title |
Brand Promotion and Consumer Adoption of Digital Payments: An Empirical Study of Paytm
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| Subject Category |
Commerce
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| Abstract |
The rapid growth of digital payment systems has significantly transformed consumer transaction behaviour in India. Digital payment platforms have increasingly relied on integrated promotional strategies to create awareness, encourage adoption, strengthen customer engagement and develop brand loyalty. Among the major players in India’s digital payment ecosystem, Paytm has adopted a combination of advertising, cashback offers, digital campaigns, social media promotion, influencer marketing, merchant engagement and on-ground promotional activities. The present study examines the effectiveness of Paytm’s brand promotion strategies in promoting digital payments and influencing consumer perception and usage behaviour. The study is based on primary data collected from 100 respondents through a structured questionnaire. Simple percentage analysis and Chi-square analysis were used to examine consumer responses regarding promotional awareness, influential promotional tools, motivation for adoption, trust, convenience and the effect of promotional messages on brand perception. The findings indicate that television and YouTube advertisements are the most frequently noticed promotional medium, while cashback and discount offers are the most influential promotional tool. Cashback incentives also emerged as an important factor motivating consumers to begin using Paytm. However, the findings suggest that continued dependence on monetary incentives may affect long-term customer retention, as a considerable proportion of respondents indicated that they would stop or reduce their usage if cashback offers were discontinued. The study concludes that promotional strategies are important in creating initial awareness and encouraging adoption, but sustainable growth requires a stronger emphasis on trust, security, convenience, customer experience and value-based branding. The study recommends that Paytm adopt a balanced promotional strategy that combines incentives with trust-building communication, merchant engagement, personalized rewards, digital literacy initiatives and customer retention programmes.
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| Keyword |
Digital Payments, Paytm, Brand Promotion, Cashback, Consumer Perception, Digital Marketing, Customer Retention
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