Security Patch Management

A Dynamic Patching Policy for Enterprise Information Systems

The present research proposes a novel dynamic patching policy (DPP) to minimize the total system cost. Specifically, we formulate the patching problem as a Markov Decision Process (MDP) problem and derive the optimal policies under both finite and infinite time horizons.

Enterprise Security Patch Management with Deep Reinforcement Learning

This study addresses the patching decision problem by proposing a novel deep reinforcement learning-based approach.