Information and Communications Security

26th International Conference, ICICS 2024, Mytilene, Greece, August 26–28, 2024, Proceedings, Part I

AvSokratis Katsikas,Christos Xenakis

Häftad, Engelska, 2024

Del 15056 i serien Lecture Notes in Computer Science

824 kr

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Beskrivning

This two-volume proceedings set LNCS 15056-15057 constitutes the proceedings of 26th International Conference on Information and Communications Security, ICICS 2024, in Mytilene, Greece, during August 26-28, 2024. The 32 full papers presented in this book were carefully selected and reviewed from 123 submissions.

Produktinformation

Utgivningsdatum:2024-12-25
Mått:155 x 235 x 19 mm
Vikt:528 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:332
Förlag:Springer Verlag, Singapore
ISBN:9789819787975

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Databaser inom Data och IT
Programmeringsböcker inom Data och IT

Innehållsförteckning

.- Attacks..- How to Design Honey Vault Schemes. .- New Result for Breaking NTRU Encryption with Multiple Keys in Polynomial Time..- Improving Differential-Neural Cryptanalysis for Large-State SPECK..- Evasion attempt for the malicious PowerShell detector considering feature weights..- A Fast Framework for Efficiently Constructing Valuable Cubes..- A Survey on Acoustic Side Channel Attacks on Keyboards..- Trust..- Enhancing TrUStAPIS Methodology in the Web of Things with LLM-generated IoT Trust Semantics..- DMA: Mutual Attestation Framework for Distributed Enclaves..- Cabin: Confining Untrusted Programs within Confidential VM..- Anomaly detection..- UARC:Unsupervised Anomalous Traffic Detection with Improved U-shaped Autoencoder and RetNet based Multi-Clustering. .- An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection..- Impact of Recurrent Neural Networks and Deep Learning Frameworks on Adaptive Real-time Lightweight Time Series Anomaly Detection..- Privacy..- Secure and Robust Privacy-Preserving Federated Learning For Heterogeneous Resource..- Privacy-preserving Logistic Regression Model Training Scheme by Homomorphic Encryption..- Privacy preserving and verifiable outsourcing of AI processing for cyber-physical systems..- Investigating the Privacy Risk of using Robot Vacuum Cleaners in Smart Environments.

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