摘要
In order to construct the trusted network and realize the trust of network behavior,a new multi-dimensional behavior measurement model based on prediction and control is presented.By using behavior predictive equation,individual similarity function,group similarity function,direct trust assessment function,and generalized predictive control,this model can guarantee the trust of an end user and users in its network.Compared with traditional measurement model,the model considers different characteristics of various networks.The trusted measurement policies established according to different network environments have better adaptability.By constructing trusted group,the threats to trusted group will be reduced greatly.Utilizing trusted group to restrict individuals in network can ensure the fault tolerance of trustworthiness of trusted individuals and group.The simulation shows that this scheme can support behavior measurement more efficiently than traditional ones and the model resists viruses and Trojans more efficiently than older ones.
In order to construct the trusted net-work and realize the trust of network behavior, a new multi-dimensional behavior measurement model based on prediction and control is presen-ted. By using behavior predictive equation, indi-vidual similarity function, group similarity func-tion, direct trust assessment function, and gener-alized predictive control, this model can guarantee the trust of an end user and users in its network. Compared with traditional measurement model, the model considers different characteristics of vari-ous networks. The trusted measurement policies established according to different network envi-ronments have better adaptability. By construc-ting trusted group, the threats to trusted group will be reduced greatly. Utilizing trusted group to restrict individuals in network can ensure the fault tolerance of trustworthiness of trusted individuals and group. The simulation shows that this scheme can support behavior measurement more efficiently than traditional ones and the model re-sists viruses and Trojans more efficiently than ol-der ones.
基金
This work was supported by the National Basic Research Pro-gram of China under Crant No.2007CB311100
Funds of Key Lab of Fujlan Province University Network Security and Cryp- toll1009
the National Science Foundation for Young Scholars of China under Crant No.61001091
Beijing Nature Science Foundation under Crant No. 4122012
＂Next-Generation Broad-band Wireless Mobile Communication Network＂ National Sci-ence and Technology Major Special Issue Funding under Grant No. 2012ZX03002003
Funding Program for Academic tturmn Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality of Chi-na.
