New Method for Cyber Threat Detection Using ASP
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🧩 Novel Approach to Cyber Threat Detection Using Answer Set Programming. A new study introduces an innovative method for analyzing provenance graphs in cybersecurity through Answer Set Programming (ASP). This approach effectively models complex relationships among system entities, enabling advanced capabilities such as attack path tracing and anomaly detection. The ASP framework allows for the concise expression of intricate security patterns, enhancing both real-time threat detection and forensic analysis. Case studies demonstrate the model’s effectiveness in handling large-scale provenance graphs and its adaptability to evolving cyber threats. This research contributes a flexible and explainable framework aimed at improving threat detection and investigation tools in cybersecurity.
