Federated Explainability for Network Anomaly Characterization-Reference-Cited by-同舟云学术

Federated Explainability for Network Anomaly Characterization

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses
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Author:

Sáez-de-Cámara Xabier¹^ORCID,Flores Jose Luis²^ORCID,Arellano Cristóbal²^ORCID,Urbieta Aitor²^ORCID,Zurutuza Urko³^ORCID

Affiliation:

1. Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Spain and Mondragon Unibertsitatea, Spain

2. Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), Spain

3. Mondragon Unibertsitatea, Spain

Funder

European Commission

Department of Education, Universities and Research of the Basque Government

Department of Economic Development, Sustainability and Environment of the Basque Government

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3607199.3607234

Reference41 articles.

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4. Explaining anomalies detected by autoencoders using Shapley Additive Explanations

5. A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions