Security and Privacy in Communication Networks

17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I

Häftad, Engelska, 2021

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

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Beskrivning

This two-volume set LNICST 398 and 399 constitutes the post-conference proceedings of the 17th International Conference on Security and Privacy in Communication Networks, SecureComm 2021, held in September 2021.

Produktinformation

Utgivningsdatum:2021-11-03
Mått:155 x 235 x 30 mm
Vikt:838 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:539
Förlag:Springer Nature Switzerland AG
ISBN:9783030900182

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Cyber Threats and Defence.- DeepHunter: A Graph Neural Network Based Approach for Robust Cyber Threat Hunting.- SIEMA: Bringing Advanced Analytics to Legacy Security Information and Event Management.- Automatic Generation of Malware Threat Intelligence from Unstructured Malware Traces.- Towards Automated Assessment of Vulnerability Exposures in Security Operations.- Repeatable Experimentation for Cybersecurity Moving Target Defense.- MPD: Moving Target Defense through Communication Protocol Dialects.- Blockchain and P2P Security 7 GuardedGossip: Secure and Anonymous Node Discovery in Untrustworthy Networks.- n Extensive Security Analysis on Ethereum Smart Contracts.- A Distributed Ledger for Non-Attributable Cyber Threat Intelligence Exchange.- AI and Security/Privacy 10 Understanding ff for Differential Privacy in Differencing Attack Scenarios.- ToFi: An Algorithm to Defend against Byzantine Attacks in Federated Learning.- TESLAC: Accelerating Lattice-based Cryptography with AI Accelerator.- Research of CPA Attack Methods based on Ant Colony Algorithm.- Local Model Privacy-preserving Study for Federated Learning.- Applied Cryptography 16 Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery.- Cryptonomial: A Framework for Private Time-Series Polynomial Calculations.- Provably Secure Contact Tracing with Conditional Private Set Intersection.- Origin Attribution of RSA Public Keys.- Network Security 20 Fine-grained Intra-domain Bandwidth Allocation against DDoS Attack.