Proceedings of International Conference on Cybersecurity, Data Science, and Machine Learning

ICCDM 2026, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-35782-3
Verlag: Springer

Buch, Englisch, 815 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

The book is a collection of the high-quality research articles presented at International Conference on Cybersecurity, Data Science, and Machine Learning (ICCDM 2026), organized by Universiti Putra Malaysia, Selangor, Malaysia during April 2026. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of software engineering and automation, intelligent systems, data science and engineering, networks and data communication, internet of things, hardware architecture and communication technologies, cyber security and data privacy, and intelligent systems and automation.

Zielgruppe

Research

Autoren/Hrsg.

Swaroop, Abhishek

Virdee, Bal

Udzir, Nur Izura Binti

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Analytical Study of Cryptographic Algorithms with Respect to Performance and Security.- Synergizing Cloud, Edge, High Performance Computing: A Hybrid Solution for Data-Driven Industries.- Federated Learning in Smart Education: A Review of Applications, Challenges, and Future Directions.- Data representation for efficient smishing detection: A systematic review of approaches.- Evaluating CNNs, Vision Transformers, and YOLO Models for Rice Leaf Disease Detection.- Rethinking Legal Accountability in Autono- mous Vehicles: AI Errors and Human Responsibility.- Q-HySA: A Quantum-Hybrid Secure Authentication Framework for Space-Air-Ground Integrated Networks.- Quantum-inspired Neural Networks for High Precision Multiclass Lung Cancer Risk Assessment.- Multimodal Food Quality Classification Using DistilBERT-Based Feature Extraction and Feature-Level Fusion techniques.- Gravitational Clustering: A Novel Approach for Efficient Supervised Learning with Minimal Data.- Preprocessing Gujarati Social Media Text for NLP: Challenges, Quantitative Literature Analysis and Experimental Evaluation.- An Intelligent Social Networking Framework for Academic Communities Using Context-Aware and Verification-Based Algorithms.- Gene Expression Analysis using Hyper-heuristic Parallel Extreme Learning Machine for Breast Cancer Classification.- Crakrr: An Automated Web Vulnerability Assessment Tool .- A Cognitive-Behavioural Analysis of Human Decision-Making in Phishing Attacks: Integrating Multimodal Deep Learning with Web-Based Feature Engineering.- Etc.

Über Autor(innen)

Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, MTech from Punjabi University Patiala, and PhD from NIT Kurukshetra. He has Industrial experience of 8 years in organizations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He has served at various administrative positions such as Head of the Department, Division Chair, NBA coordinator for the university, Head Training & Placements. Currently, he is serving as Professor & HoD department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, and Delhi. He is actively engaged in research. He has more than 65 quality publications out of which 8 are SCI and 16 Scopus. Two of his Ph.D. Scholars have completed his PhD from NIT Kurukshetra and IIT Dhanbad. He is currently supervising a PhD student from AKTU Lucknow. He has guided 10 MTech, Dissertations, and numerous other projects. He has authored 3 books and 5 book chapters. He had been part of the organizing committee of three IEEE conferences, three Springer conferences (ICICC2018) as technical program chair. He was the convener of recently organized national conference NCCIN-2K18. He is member of various professional societies like CSI and ACM and editorial board of various reputed journals.

Prof. Bal Virdee graduated with a BSc (Engineering) Honours in Communication Engineering and MPhil from Leeds University, UK. He obtained his PhD from University of North London, UK. He worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, ie: Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, Short Course Organiser, Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems and BSc Electronics. In 2010 he was appointed Academic Leader (UG Recruitment). He is a member of ethical committee, member of the school's research committee, and research degrees committee.

Dr. Nur Izura Udzir is an Associate Professor at the Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM). Her areas of specialization are cyber security, intrusion detection systems, access control, privacy, cryptography, steganography, authentication, and information security management. She has written one book, edited three books in information security, and has published over 250 articles in journals and international conferences. She has won the MIMOS Prestigious Award 2015, Young Scientist Award 2021, and eight Best Paper Awards at international conferences, invited as keynote speaker at international conferences, and as visiting lecturer/foreign scientist at South Kazakhstan University.

Dr. Shamala Subramaniam is a distinguished academic at Universiti Putra Malaysia (UPM), serving as Dean of the Faculty of Computer Science and Information Technology. Her expertise lies in wireless networks, distributed systems, computer networks, and parallel/distributed computing. She has authored numerous high-impact publications, supervised postgraduate research, and contributed to editorial boards of national and international journals. Beyond academia, she co-founded a startup to commercialize research and led the development of an innovative Games Management System adopted for major sports events