A method for HMM-based system calls intrusion detection based on hybrid training algorithm

HMM (Hidden Markov Model) is a very important intrusion detection tool. The classical HMM training algorithm is a climbing algorithm. It can only find a local optimal solution. To improve the accuracy of HMM training, this paper introduces a hybrid algorithm into intrusion detection. Experiments show that this algorithm can find a more accurate model.