On the use of neurosymbolic AI for defending against cyber attacks
August 09, 2024 Β· Declared Dead Β· π International Workshop on Neural-Symbolic Learning and Reasoning
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Authors
Gudmund Grov, Jonas Halvorsen, Magnus Wiik Eckhoff, BjΓΈrn Jervell Hansen, Martin Eian, Vasileios Mavroeidis
arXiv ID
2408.04996
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CR,
cs.LG
Citations
6
Venue
International Workshop on Neural-Symbolic Learning and Reasoning
Last Checked
4 months ago
Abstract
It is generally accepted that all cyber attacks cannot be prevented, creating a need for the ability to detect and respond to cyber attacks. Both connectionist and symbolic AI are currently being used to support such detection and response. In this paper, we make the case for combining them using neurosymbolic AI. We identify a set of challenges when using AI today and propose a set of neurosymbolic use cases we believe are both interesting research directions for the neurosymbolic AI community and can have an impact on the cyber security field. We demonstrate feasibility through two proof-of-concept experiments.
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