Anomaly Detection of User Behaviors Based on Cross-entropy
Xiaolan Peng · Journal of Dongguan University of Technology · 2009
A method about anomaly detection of user behaviours based on cross-entropy is introduced.By changing the model parameters,it is found that in the same experiment conditions,the distinguishing effect of CE model is superior to that of HMM,with the former being very simple and the training time negligible.