Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning
Author:
Affiliation:
1. University of West Florida Institute for Human & Machine Cognition,Pensacola,FL,USA
2. Army Cyber Institute United States Military Academy,West Point,NY,USA
Funder
U.S. Military Academy
Army Research Laboratory
Advanced Research Projects Agency
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10356123/10356124/10356283.pdf?arnumber=10356283
Reference36 articles.
1. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
2. A survey of neural networks usage for intrusion detection systems
3. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
4. Neural-symbolic computing: An effective methodology for principled integration of machine learning and reasoning;Garcez,2019
5. NeurASP: Embracing Neural Networks into Answer Set Programming
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3. On the Use of Neurosymbolic AI for Defending Against Cyber Attacks;Lecture Notes in Computer Science;2024
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