Recognizing and predicting of strange interactive entity's behavior in pervasive environment
Xiangbing Wen · Jisuanji yingyong yanjiu · 2009
There is no priori interactive experience between the strange interactive entities in the pervasive environment,so must make sure that the interactive behavior between the two entities is reliable for the computing safety in this environment.Based on this,this paper proposed a behavior-analyzing and situation-predicting model based on the nested Dirichlet process and the infinite hidden Markov model.It could predict the behavior of abnormality and cheat effectively in the entity's strange interactive process and intervene the unreliable behaviors in advance so that serious consequences could be avoided.Took some examples about the model's application in the intelligent market and analysed the feasibility of model by simulated.