Unsupervised Hebb rule based intrusion detection method

Through analyzing existing intrusion detection methods,an unsupervised Hebb rule based intrusion detection method is put forward.All the network data grams can be caught through an efficient method.The network behavior variables are defined by the caught data gram information.Hebb rule is used to build the network behavior model.After building the behavior model,intrusion behavior can be detected through Hamming distance method.The experimental results prove that the intrusion detection method based on Hebb rule can correctly build the network behavior model and detect abnormal behavior in local area network accurately.