Security and Privacy

4th International Conference, ICSP 2025, Rourkela, India, December 5–7, 2025, Proceedings

AvSihem Mesnager,Pantelimon Stănică

Häftad, Engelska, 2025

Del 2799 i serien Communications in Computer and Information Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-12-02
Mått:155 x 235 x 14 mm
Vikt:371 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:227
Förlag:Springer Nature Switzerland AG
ISBN:9783032128331

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Hårdvara inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

.- 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.