
Information and Communications Security
Description
Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
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.
More details
Other editions
Additional editions

Content
.- 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.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use the free software Adobe Reader, Adobe Digital Editions, or any other PDF viewer of your choice (see eBook Help).
- Tablet/Smartphone (Android; iOS): Install the free app Adobe Digital Editions or another reading app for eBooks, e.g., PocketBook (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (only limited: Kindle).
The file format PDF always displays a book page identically on any hardware. This makes PDF suitable for complex layouts such as those used in textbooks and reference books (images, tables, columns, footnotes). Unfortunately, on the small screens of e-readers or smartphones, PDFs are rather annoying, requiring too much scrolling.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.