A Markov-Based Intrusion Tolerance Finite Automaton

It is inevitable for networks to be invaded during operation. The intrusion tolerance technology comes into being enable provide the necessary network services. This paper introduces an automatic learning mechanism of system update security strategy, and derives finite automaton model from existing model. proposed was quantified by Markov theory compute stable probability each state. calculated probabilities theoretical guidance basis administrators better safeguard security. Verification results show that it feasible, effective, convenient integrate automaton.