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The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2025), organized as a joint collaborative event between Deen Dayal Upadhyaya College, University of Delhi, India, CQ University (CQU), Sydney, Australia, University of KwaZulu-Natal, Durban, South Africa, IIIT Bhopal and NIT Arunachal Pradesh, India, during April 4-5, 2025. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
Revolutionizing Security: A Hybrid 1 Clustering Approach to Intrusion 2 Detection Systems.- FederatedLearningApplicationsinVariousSpheres:ASurvey.- Improved Dynamic Ant Colony Optimization Algorithm for Robot Path Planning in Static Environment.- ImpactofCrimeDataMiningonInterstatePolicies.- A Comprehensive Review of Multi-drone Path Planning Algorithms:Strategies, Challenges, and Advances in Static and Dynamic Environments.- Security Implications of Quantum Computation in Cloud Environment.- Sensor Bank- a Real-Time Machine Learning Based Electronic Sensor Management System.- Integrating Ancient Wisdom with Contemporary Technology: Sanskrit in Computational Intelligence.- Leveraging Self-Attention GAN for Masked Face Reconstruction and Hybrid DCNN-ELM Framework for Recognition.- Mapping Spiritual Knowledge: Literature Review on Knowledge Graph in Hindu Scriptures.- Optimizing Resource Utilization in Fog Computing with Review of Load Balancing Algorithms.- Enhancing Decision-Making Processes with Machine Learning in DataScience Applications.- Enhancing Brand Positioning Through Visual Sentiment Analysis Using DeepLearning.- Firefly-Based Approach for Dynamic Path Planning and Collision Avoidance in Mobile Robotics.- Developing a Framework for Integrating Security Testing into the CI/CD Pipeline Using Automation.- Use of Scaled Entropy for Decision Making When the Target Composition Does Not Correspond to Maximum Entropy.- Mitigating Theft in Autonomous Vehicles Using AI-Based IPS Integrated with Real-Time Threat Intel (ProtegoAI).- Keystroke Forensics: A Novel Keylogger Design for Enhanced Tracking and Reporting.- An Intelligent Android-Based Women Safety Application with Real-Time GPS Tracking and SMS Alerts.- Empowering Microservices Observability: An AI Approach to Anomaly Detection.- Digital Twin and Edge Computing for Real-Time Emergency Response in Smart Transportation System.- Predicting Ireland House Prices with Deep Learning Techniques: A Comparative Study.- Reciprocal Recommender Systems Using the Speed Dating Dataset with Matrix Factorization.- A Proposed Framework for Adaptive e-learning System for Personalized Learning.- A Blog Generation LLM App Using Llama-2.- Enhanced Watermarking Techniques Using the Artificial Bee Colony Algorithm with Single and Multiple Scaling Factors.- Dropout Prediction in Behavior-Based Online Learning for STEM vs Non-STEM Courses: A Machine Learning Approach.- IoT Enabled Interactive Training Module.- Cyberbullying Detection with Machine Learning: A Comparative Analysis of Key Bullying Features.- Transforming Business with Generative AI: Research, Innovation, Market Deployment and Future Shifts in Business Models.- KG4TI: A Knowledge Graph Approach to Strengthening Threat Intelligence in Nigeria.- Intelligent Face Mask Detection Framework.- A Novel Framework for Fake News Analysis and Detection Using Deep Learning.- Automated Detection and Prevention of Malicious Image Downloads via a Chrome Extension.- Multimodal System for Privacy-Focused Chat Analysis.- Evaluating Performance of Machine Learning Algorithms on SDN DDOS Traffic Dataset.- Geospatial Analysis and LULC Mapping in Bangalore Urban District by Cloud Computing and AI Enabled Geospatial Analysis.- Emerging Trends in Data Leakage Detection and Prevention: A Comprehensive Review.- Optimizing Indoor Robot Navigation: Comparing Reinforcement Learning Techniques Using a Novel Evaluation Framework.- Advanced Security Mechanisms and Rubrics for Project Review and Evaluation.- Enhancing IIoT Security: A Survey on Intelligent Intrusion Detection Techniques.
Prof. Anurag Mishra is an accomplished academician and researcher with over 30 years of teaching and research experience in Computer Science, Electronics, and related fields. With a robust background in Physics (B.Sc. and M.Sc.) and advanced degrees in Computer Technology and Applications (M.E.) and Electronics (Ph.D.) from the University of Delhi, he has contributed significantly to both academia and industry. Prof. Mishra has published over 70 refereed papers in high-impact journals, international conferences, and book chapters, focusing on Information Security, Digital Rights Management, and image classification for forensic applications.
Dr. Deepak Gupta is an Assistant Professor in the Department of Computer Science & Engineering of Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India. Previously he has worked in the Department of Computer Science & Engineering of National Institute of Technology Arunachal Pradesh. He received a Ph.D. degree in Computer Science & Engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR, biomedical applications and other machine-learning techniques. He has published over 80 referred journal and conference papers of international repute.
Prof. Meena Jha, professes in computer science and Head of the Technology and Pedagogy Cluster at Central Queensland University, Australia is a passionate advocate for gender equality. She has been a visiting professor at NetaJi Subhash University of Technology, Delhi, India. She holds a Bachelor's and Master's degree in Electronics and Communication Engineering and Computer Science from India, as well as a PhD in Computer Science and Engineering from the University of New South Wales (UNSW), Australia.
Prof. Upasana Singh is the Academic Leader and Associate Professor in the Discipline of Information Systems and Technology at the University of KwaZulu-Natal, Westville Campus, Durban, South Africa. Additionally, she holds the esteemed position of Adjunct Senior Lecturer at the Victorian Institute of Technology, Australia. She earned her Ph.D. in Information Systems from the University of South Africa, complemented by a Master's and a B.Com Hons degree in Information Systems and Technology from the University of KwaZulu-Natal and the University of Natal, respectively. Prof Singh's interdisciplinary research has yielded an impressive publication record, including 4 edited books, 25 journal papers, 13 book chapters, and 26 peer-reviewed conference papers.
Dr. Rajat Subhra Goswami received his B.Tech in Information Technology in 2005 from West Bengal University of Technology, West Bengal. He received his M.E. in Multimedia Development from Jadavpur University, West Bengal in 2009 and then joined in Bengal Institute of Technology Shantiniketan, Bolpur, West Bengal as an Assistant Professor in the CSE department. He became Assistant Professor of the CSE department at the National Institute of Technology, Arunachal Pradesh, Govt. of India in 2011. He received PhD in Computer Science & Engineering from the National Institute of Technology Arunachal Pradesh in 2015. Currently, he is working as an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Arunachal Pradesh, Govt. of India.
