Runtime Optimal Semantic Gap-Filling System Security Monitoring via Offline Automated Executable Profile Generation and Dynamic Sensor Deployment

Saman Zonouz received a 3 year, $572K grant from ONR as a sole PI for the project "Runtime Optimal Semantic Gap-Filling System Security Monitoring via Offline Automated Executable Profile Generation and Dynamic Sensor Deployment".

The abstract follows.

Abstract: Secure operation of next generation critical cyber infrastructures requires not only intrusion preventative security hardening solutions, e.g., stack canaries, to prevent attackers from intruding the critical computer systems but also online optimal system security monitoring to provide semantic security status reports about low-level malicious activities within the systems. The objective of this research is to develop the foundations and working practical algorithms to provide adaptive and semantic gap-filling system security monitoring capabilities in complex and critical computing assets. The proposed automated self-aware and scalable cyber security solution will enable computing systems to survive cyber attack scenarios with minimum manual intervention and will provide the security admins with meaningful and concise reports about security incidents in real-time.