Summary of On the Use Of Neurosymbolic Ai For Defending Against Cyber Attacks, by Gudmund Grov et al.
On the use of neurosymbolic AI for defending against cyber attacks
by Gudmund Grov, Jonas Halvorsen, Magnus Wiik Eckhoff, Bjørn Jervell Hansen, Martin Eian, Vasileios Mavroeidis
First submitted to arxiv on: 9 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes combining connectionist and symbolic AI using neurosymbolic AI to enhance cyber attack detection and response capabilities. The authors identify challenges in current AI approaches and propose novel use cases for neurosymbolic AI that can have a significant impact on the cyber security field. Two proof-of-concept experiments demonstrate the feasibility of this approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about using artificial intelligence (AI) to help detect and respond to cyber attacks. Right now, some people are using one type of AI called connectionist AI, while others are using symbolic AI. The idea is to combine these two types of AI into something new called neurosymbolic AI. This combined approach can help us detect and respond to cyber attacks more effectively. |
