On the use of neurosymbolic AI for defending against cyber attacks
This work addresses cyber security challenges by proposing neurosymbolic AI as a research direction, but it is incremental as it builds on existing AI methods without claiming major breakthroughs.
The paper tackles the problem of detecting and responding to cyber attacks by advocating for neurosymbolic AI, combining connectionist and symbolic approaches, and demonstrates feasibility through two proof-of-concept experiments.
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.