Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview


연구 분야: Analysis



학회: EICC '22: Proceedings of the 2022 European Interdisciplinary Cybersecurity Conference


초록

Artificial intelligence (AI) approaches are widely applied in cyber security, while they currently lack explainability towards their users. Here, complex network analysis (CNA) can be leveraged for providing explainability. The goal of this overview paper is to present a brief methodological view on explainability in cyber security using CNA. In particular, we (1) motivate the concept, use and application of explainability, (2) present CNA methods, and (3) outline challenges and open issues in the domain of cyber security.


Author Profile
Martin Atzmueller

Osnabrück University Germany and German Research Center for Artificial Intelligence (DFKI) Germany

Andorra
Author Profile
Rushed Kanawati

Universite Sorbonne Paris Nord France

France

📄 논문 정보

발행 연도 2022년
인용수 5
출판 국가 Andorra, France
사이트 ACM
좋아요 수 0

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