AI-Powered Cybersecurity: Anomaly Detection with Answer Set Programming
Analysis
This research explores a novel application of Answer Set Programming for system log anomaly detection, which could enhance cybersecurity defenses. The use of logic-driven methods offers a potentially robust and explainable approach to identifying malicious activities.
Key Takeaways
- •Applies Answer Set Programming to cybersecurity.
- •Focuses on anomaly detection within system logs.
- •Aims for a logic-driven and explainable approach.
Reference
“A novel framework for system log anomaly detection using Answer Set Programming.”