Security and Privacy in Communication Networks

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part IV

Häftad, Engelska, 2025

Del 630 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-08-31
Mått:155 x 235 x 23 mm
Vikt:616 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:392
Förlag:Springer International Publishing AG
ISBN:9783031944574
Originaltitel:Security and Privacy in Communication Networks

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Nätverk och kommunikation inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

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 onHistorical Victim Data.- Solving ILWE Problem More Efficiently and Application to BLISS Side Channel Attack.