Cybersecurity Incident

Cybersecurity incidents encompass a broad range of attacks targeting diverse systems, from agricultural infrastructure to AI-powered applications like chatbots and autonomous vehicles. Current research focuses on improving incident response through data-driven forensic analysis, employing techniques like Markov decision processes and machine learning for threat prioritization and anomaly detection. Understanding and mitigating these incidents is crucial for ensuring the security and reliability of critical infrastructure and emerging technologies, impacting both economic stability and public safety. The development of robust, adaptable security frameworks is a key objective across these diverse application domains.

Papers