Security and Privacy in Communication Networks
20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part IV
Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; 630;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 31 August 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031944574
- Binding Paperback
- No. of pages392 pages
- Size 235x155 mm
- Language English
- Illustrations XV, 392 p. 115 illus., 105 illus. in color. Illustrations, black & white 692
Categories
Long description:
This four-volume set LNISCT 627-630 constitutes the proceedings of the 20th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2024, held in Dubai, United Arab Emirates during October 28 - 30, 2024.
The 81 full papers were carefully reviewed and selected from 225 submissions. The proceedings focus on
Privacy and Cryptography
AI for cybersecurity and Adversial models
Quantum Computing in Cybersecurity
Network Security
Blockchain and Cryptocurrencies
Fuzzing and IoT security
Malware and Attack Analysis
Web Security
Authentication
Large Language Model for Cybersecurity
Security Assessments
MoreTable of Contents:
Authentication.- Pulse to-Pair: Heartbeat based Authentication of IoT Devices for Elderly Care.- A Lightweight Group Authentication Framework for Cross Domain Internet of Things.- DPU LARD: DPU Leveraged Attestation of Remote Devices for Security of OT Networks.- Gait4Auth: Enhancing Identification and Security in Gait Based Authentication.- A Hardware Oriented Lightweight Block Cipher and Its Application in Surveillance Video.- TGSA: Trajectory Group Semantic Anonymization.- Large Language Model for Cybersecurity.- Can’t say cant? Measuring and Reasoning of Dark Jargons in Large Language Models.- Cybersecurity with LLMs and RAGs: Challenges and Innovations.- Enhancing Pre Trained Language Models for Vulnerability Detection via Semantic Preserving Data Augmentation.- K-BOOST: A Cyber Security NER Model with Knowledge Augmentation via BERT.- FLKT: Improving the Fidelity and Robustness of Federated Learning Aggregation Rules via the Key data and Trap model.- Poisoning Attack on Federated Learning with Non IID Data: A Historical-Global-Model-Based Approach.- Security Assessments.- A Comprehensive Evaluation of the Impact on Tor Network Anonymity Caused by ShadowBridge.- ADG-Dedup: Adaptive Dynamic Grained Deduplication Scheme for IoT Data in Cloud Storage.- Enhancing Reliability in Open Rating Systems: A Trust Aware Filtering Approach.- Graph Injection Attack based on Node Similarity and Non linear Feature Injection Strategy.- Assessing and Prioritizing Ransomware Risk Based on
Historical Victim Data.- Solving ILWE Problem More Efficiently and Application to BLISS Side Channel Attack.
Laboratory Studies for Brewing Students, a Systematic Course of Practical Work in the Scientific Principles Underlying the Processes of Malting and Br
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