作者: Arisoa S. Randrianasolo , Larry D. Pyeatt
关键词:
摘要: Reinforcement learning techniques become more popular in computer network security. The same reinforcement developed for security can be applied to software as well. This research summarizes a work progress attempt incorporate Q-learning algorithm method is embedded part of the itself provide mechanism that has ability learn by develop temporary repair mechanism. results experiment express given right parameters and setting approach rapidly learns block all malicious actions. Data analysis on Q-values produced diagnostic A larger scale expected seen future work.