Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview
Autor(en): | Atzmueller, M. Kanawati, R. |
Stichwörter: | Complex Network Analysis; Complex networks; Cyber Security; Cybersecurity, Analysis method; Explainable AI; Explainable artificial intelligence, Network security | Erscheinungsdatum: | 2022 | Herausgeber: | Association for Computing Machinery | Journal: | ACM International Conference Proceeding Series | Startseite: | 49 | Seitenende: | 52 | Zusammenfassung: | 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. © 2022 ACM. |
Beschreibung: | Conference of 2022 European Interdisciplinary Cybersecurity Conference, EICC 2022 ; Conference Date: 15 June 2022 Through 16 June 2022; Conference Code:181186 |
ISBN: | 9781450396035 | DOI: | 10.1145/3528580.3532839 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135366820&doi=10.1145%2f3528580.3532839&partnerID=40&md5=2ee3b2fe9ae985daed959c4f0974f0c2 |
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geprüft am 18.05.2024