Security, Privacy and Data Analytics

This book comprises the refereed proceedings of the 3rd International Conference on Security, Privacy, and Data Analytics (ISPDA 2024). It covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and more. The volume features novel contributions and the latest developments from researchers in both industry and academia, addressing security, privacy, and data analytics from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners worldwide.

Security Technologies for 6G Mobile Systems and Challenges Associated with AI Technologie. - Privacy-Preserving Emotion Detection in Audio Data: Leveraging CNNs and Spectrograms in Encrypted Domains. - Scam Detection in Ethereum Transactions using Kolmogorov-Arnold Networks and Ensemble Models. - An Integrated Approach for Enhancing Internet Security using Squid Proxy Based Whitelisting with Machine Learning. - A Comprehensive Exploration of Trust Management, Assessment, and Prediction in Online Social Networks. - Deepfake Detection in Online Social Networks: A Comprehensive Review for Enhancing Trust and Security. - Few-Shot Skin Cancer Classification using Matching Feature Sets with ResNet-12. - ICFND: Integrated Classifier Approach to Fake News Detection Using Multiple Algorithms. - Remote Data Attestation using Blockchain for Low-End IoT Devices: Enhancing Security through Trustworthy Verification. - Emerging Approaches of User Authentication using Keystroke Dynamics: A Review. - etc.