Proceedings of the 2nd International Conference on Emerging Trends in Cybersecurity
ICETCS 2025, October 27-28, Wolverhampton, United Kingdom
Series: Lecture Notes in Electrical Engineering;
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 11 September 2026
- ISBN 9789819210732
- Binding Hardback
- No. of pages451 pages
- Size 235x155 mm
- Language English
- Illustrations V, 451 p. 700
Categories
Long description:
This book presents selected papers from the 2nd International Conference on Emerging Trends in Cyber Security (ICETCS-2025) held in October 2025, at Wolverhampton, United Kingdom. This book covers a broad spectrum of topics, including the latest innovations in cyber defense mechanisms, the integration of AI in cybersecurity, and the challenges of protecting increasingly complex networks and systems. Key areas of discussion include blockchain for enhanced security measures, machine learning for threat detection, advanced cryptographic techniques, and strategies for securing cloud environments and IoT systems. This book delves into the potential and challenges of new cybersecurity paradigms, exploring advanced frameworks and methodologies that aim to bolster defenses against sophisticated cyber threats. The content is relevant to leading researchers, practitioners, and thought leaders from academia, industry, and government who are interested in the best practices and policy-making, all aimed at enhancing global cybersecurity resilience.
MoreTable of Contents:
Toward Reinforcement Learning-based Profiling for Phishing Campaigns.- Enhanced Sentiment Classification of IMDB Movie Reviews Using Ensemble Machine Learning Techniques.- Unveiling the Future of Crime Prevention: A Comparative Review of AI-Driven Detection Systems.- Enhancing Deepfake Video Forgery Detection: An Xception-CBAM-BiLSTM Model with Attention Mechanisms.- Explainable Early Parkinson’s Disease Detection using Vocal Biomarkers.- RedditOSINT: Automated OSINT Collection from Reddit and Analysis Using Machine Learning.- Statistical Divergence-Based Adversarial Detection in Fake News Using Multivariate Neuron Activation Profiling.- A Detailed Survey of Emerging Technologies, Challenges and Future Perspectives of Cyber Security.- Governance, Risk & Compliance 2.0: A Large-Language-Model Virtual Advisor for Modern Enterprises.- Hand Gesture and Facial Expression Recognition for a Multimodal Human-Computer Interaction System.- Securing Intelligent Transport System Using Physical Unclonable Function.- ACB-TriNet Asymmetric Convolutions and Triplet Attention for Effective Malware Classification.- A Robust Deep Ensemble Approach for Detecting Fake News Across Multiple Languages.-
Impact of COVID-19 on Bangladeshi University Students’ Mental Health: Machine and Deep Learning Analysis with Privacy and Secure Health Monitoring Considerations.- Understanding Cyber Risk Monitoring Needs in SMEs: A Preliminary Stakeholder Study.
