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Behavior Measurement Model Based on Prediction and Control of Trusted Network

查看全文 作  者:Gong [1,3]Bei;Zhang [1]Jianbiao;Shen [1,2]Changxiang;Zhang [2]Xing 高影响力作者 机构地区:[1]Beijing Univ Technol, Coll Comp Sci, Beijing 100124, Peoples R China;[2]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China;[3]Fujian Normal Univ, Key Lab Network Secur & Cryptol, Fuzhou 350007, Peoples R China;高影响力机构 出  处:《China Communications》索引2012年第9卷第5期,共12页高影响力期刊 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. 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. 关 键 词:广义预测控制 可信网络 计量模型 模型预测 行为 测量模型 最终用户 预测方程
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