Overview

This book constitutes the conference proceedings of the 4th International Conference on Security and Privacy, ICSP 2025, held in Rourkela, India, during December 5–7, 2025. The 14 full papers in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Mathematical Foundation of Cryptography, Authentication Key Management and Machine Learning in Cybersecurity.

Full Product Details

Author:   Sihem Mesnager ,  Pantelimon Stănică ,  Kamalesh Acharya ,  Sumit Kumar Debnath
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032128331

ISBN 10:   3032128331
Pages:   227
Publication Date:   02 December 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- Mathematical Foundation of Cryptography .- Design and Implementation of a Cybersecurity-Enhanced In Four-Channel EEG Monitoring System Using Eight Electrodes. .- Review on the Implications of crystals Kyber in LTE networks. .- Scalable Dual-Stage Design for Robust Security in WSNs. .- Dynamic and Adaptive Broadcast Encryption for VANETs Supporting Inclusive-Exclusive Properties. .- Some Properties of Higher Order Mersenne and Gaussian Higher Order Mersenne Polynomials. .- Authentication Key Management .- Privacy-Preserving Auditable Authentication Scheme for Vehicular Ad-hoc Networks. .- Fortifying Security: Towards Strong Active Outsider-Resilient CRT-Based Group Key Management. .- Simulating Multi-Agent Reasoning for Diverse and Adaptive Career Strategies: A Review. .- Machine Learning in Cybersecurity .- SMART DETECTION OF INDIAN COUNTERFEIT CURRENCY NOTES USING DEEP LEARNING TECHNIQUES. .- Enhancing Privacy in Distributed Systems with Laplace Quantization Mechanism. .- A Lightweight Intrusion Detection Framework for IoT Using Fisher Score Feature Filtering and ML Models. .- A Quorum-based Privacy-Preserving Distributed Learning Framework for Anomaly Detection. .- Hybrid DCGAN-ResNet50 model for Fake Face Detection. .- Encrypted training using logistic regression with different polynomial approximations of sigmoid function.

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