IoT Network Attack Detection: Leveraging Graph Learning for Enhanced Security-Reference-Cited by-同舟云学术

IoT Network Attack Detection: Leveraging Graph Learning for Enhanced Security

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Messai Mohamed-Lamine¹^ORCID,Seba Hamida²^ORCID

Affiliation:

1. ERIC laboratory, Univ Lyon, Univ Lyon 2, UR ERIC, France

2. LIRIS laboratory, University Lyon1, France

Funder

Agence française de financement de la recherche

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3605053

Reference28 articles.

1. TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems

2. Real-Time Anomaly Detection in Edge Streams

3. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications

4. Milan Cermak and Denisa Sramkova . 2021 . GRANEF: Utilization of a Graph Database for Network Forensics.. In SECRYPT. 785–790. Milan Cermak and Denisa Sramkova. 2021. GRANEF: Utilization of a Graph Database for Network Forensics.. In SECRYPT. 785–790.

5. Anomaly detection

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