Information Security Theory and Practice

14th IFIP WG 11.2 International Conference, WISTP 2024, Paris, France, February 29 – March 1, 2024, Proceedings

AvSamia Bouzefrane,Damien Sauveron

Häftad, Engelska, 2024

Del 14625 i serien Lecture Notes in Computer Science

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Beskrivning

This volume constitutes the refereed proceedings of the 14th IFIP WG 11.2 International Conference on Information Security Theory and Practices, WISTP 2024, held in Paris, France.The 12 full papers presented were carefully reviewed and selected from 30 submissions. The papers presented in this proceedings focus on emerging trends in security and privacy, including experimental studies of fielded systems while exploring the application of security technology, and highlighting successful system implementations.

Produktinformation

Utgivningsdatum:2024-06-18
Mått:155 x 235 x 12 mm
Vikt:324 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:195
Förlag:Springer International Publishing AG
ISBN:9783031603907

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Innehållsförteckning

.- SPAWN: Seamless Proximity-based Authentication by Utilizing the Existent WiFi Environment..- MQfilTTr: Strengthening Smart Home Privacy through MQTT Traffic Manipulation..- Combining Cryptography and Discrete-Event Systems to Study Sensor and Actuator Cyberattacks..- Towards Interconnected Quantum Networks: A Requirements Analysis..- A similarity approach for the classification of mitigations in public cybersecurity repositories into NIST-SP 800-53 catalog..- Top Cyber Threats: The rise of Ransomware..- Enhancing security in Blockchain enabled IoT networks empowered with zk -SNARKs and Physically Unclonable Functions..- Security Challenges and Countermeasures in Blockchain's Peer-to-Peer Architecture..- A Bitcoin-based Digital Identity Model for the Internet of Things..- Towards a Time-dependent Approach for User Privacy Expression and Enforcement..- Privacy preserving Federated Learning : A novel approach for combining Differential Privacy and Homomorphic Encryption..- Distributed Backdoor Attacks in Federated Learning Generated by Dynamic Triggers.