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Information and communications security26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024 : proceedings.Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information and communications securityedited by Sokratis Katsikas ... [et al.].
Reminder of title:	26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024 : proceedings.
remainder title:	ICICS 2024
other author:	Katsikas, Sokratis K.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 332 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	CryptographyCongresses.
Online resource:	https://doi.org/10.1007/978-981-97-8798-2
ISBN:	9789819787982$q(electronic bk.)

Information and communications security26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024 : proceedings.Part I /
Information and communications security26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024 : proceedings.Part I /[electronic resource] :ICICS 2024edited by Sokratis Katsikas ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 332 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,150560302-9743 ;. - Lecture notes in computer science ;4891..

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.

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. They cover topics related to many aspects of security in information and communication systems, ranging from attacks, to defences, to trust issues, to anomaly-based intrusion detection, to privacy preservation, and to theory and applications of various cryptographic techniques.

ISBN: 9789819787982$q(electronic bk.)

Standard No.: 10.1007/978-981-97-8798-2doiSubjects--Topical Terms:

383237
Cryptography
--Congresses.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Information and communications security26th International Conference, ICICS 2024, Mytilene, Greece, August 26-28, 2024 : proceedings.Part I /
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505 0 $a 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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