Security and Privacy (eBook, PDF)

4th International Conference, ICSP 2025, Rourkela, India, December 5-7, 2025, Proceedings
Redaktion: Mesnager, Sihem; Debnath, Sumit Kumar; Acharya, Kamalesh; Stanica, Pantelimon

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 227
• Erscheinungstermin: 1. Dezember 2025
• Englisch
• ISBN-13: 9783032128348
• Artikelnr.: 76015528

Inhaltsangabe

.
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.