网络用户行为可信性集值统计度量方法
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摘要
对网络用户行为可信性度量研究是当前网络安全的研究热点.本文通过分析网络用户的行为数据,建立用户可信行为评估树,提出用户行为等级划分及评判方法,从而确定可信度阈值.将集值统计方法引入可信性度量,提出一种动态多维度量算法,通过该算法确定网络用户行为数据评估值,并利用线性回归对用户行为进行预测.这种方法通过客观证据的收集来确定行为数据评估值,改变了以往靠主观来评定预测值的方式,并且将证据值扩大为一个值域.实验结果表明,该方法能够在网络环境中对用户行为进行准确预测,反映网络用户行为可信性的动态变化特征.
The research of trustworthiness measurement of user behavior is the hotpot in the network security. By analyzing the user behavior data in netw orks,this paper built a trustw orthy behavior evaluation tree,and put forw ard user behavior hierarchies and judging method to determine the trustw orthiness threshold. We brought the set-valued statistics in the trustw orthiness measurement,and put forw ard the Dynamic M ulti-dimensional Calculated Algorithm,w hich can calculate the value of the user behavior data,so as to predict the user behavior in netw orks using the linear regression. This method changed the methods in the past w hich relied on subjective evaluation of attribute's value. The collection of objective evidence confirmed behavior data evaluation value,and expanded the value of attribute to a range. Simulating results show that the model can accurately predict the user behavior in the netw ork environments and validate its dynamic variety characters.
The research of trustworthiness measurement of user behavior is the hotpot in the network security. By analyzing the user behavior data in netw orks,this paper built a trustw orthy behavior evaluation tree,and put forw ard user behavior hierarchies and judging method to determine the trustw orthiness threshold. We brought the set-valued statistics in the trustw orthiness measurement,and put forw ard the Dynamic M ulti-dimensional Calculated Algorithm,w hich can calculate the value of the user behavior data,so as to predict the user behavior in netw orks using the linear regression. This method changed the methods in the past w hich relied on subjective evaluation of attribute's value. The collection of objective evidence confirmed behavior data evaluation value,and expanded the value of attribute to a range. Simulating results show that the model can accurately predict the user behavior in the netw ork environments and validate its dynamic variety characters.
引文
[1]Li Xiao-yong,Gui Xiao-lin,Mao Qian,et al.Adaptive dynamic trust measurement and prediction model based on behavior monitoring[J].Chinese Journal of Computers,2009,32(4):664-674.
[2]Lin Chuang,Peng Xue-hai.Research on trustworthy networks[J].Chinese Journal of Computers,2005,28(5):751-757.
[3]Tian Li-qin,Lin Chuang.Evaluation mechanism for user behavior trust based on DSW[J].Journal of Tsinghua University Science and Technology,2010,50(5):763-767.
[4]Lv Yan-xia,Tian Li-qin,Sun Shan-shan.Turst evaluation and control analysis of FANP-based user behavior in cloud computing environment[J].Computer Science,2013,40(1):132-135.
[5]Ji Tie-guo,Tian Li-qin,Hu Zhi-xing,et al.AHP-based user behavior evaluation method in trustw orthy netw ork[J].Computer Engineering and Applications,2007,43(19):123-151.
[6]Stefan Schmidt,Robert Steele,Tharam S.Dillon fuzzy trust evaluation and credibility development in multi-agent systems[J].Applied Soft Computing,2007,7(2):492-505.
[1]李小勇,桂小林,毛倩,等.基于行为监控的自适应动态信任度测模型[J].计算机学报,2009,32(4):664-674.
[2]林闯,彭雪海.可信网络研究[J].计算机学报,2005,28(5):751-757.
[3]田立勤,林闯.基于双滑动窗口的用户行为信任评估机制[J].清华大学学报,2010,50(5):763-767.
[4]吕艳霞,田立勤,孙珊珊.云计算机环境下基于FANP的用户行为的可信评估与控制分析[J].计算机科学,2013,40(1):132-135.
[5]冀铁果,田立勤,胡志兴,等.可信网络中一种基于AHP的用户行为评估方法[J].计算机工程与应用,2007,43(19):123-151.
[2]Lin Chuang,Peng Xue-hai.Research on trustworthy networks[J].Chinese Journal of Computers,2005,28(5):751-757.
[3]Tian Li-qin,Lin Chuang.Evaluation mechanism for user behavior trust based on DSW[J].Journal of Tsinghua University Science and Technology,2010,50(5):763-767.
[4]Lv Yan-xia,Tian Li-qin,Sun Shan-shan.Turst evaluation and control analysis of FANP-based user behavior in cloud computing environment[J].Computer Science,2013,40(1):132-135.
[5]Ji Tie-guo,Tian Li-qin,Hu Zhi-xing,et al.AHP-based user behavior evaluation method in trustw orthy netw ork[J].Computer Engineering and Applications,2007,43(19):123-151.
[6]Stefan Schmidt,Robert Steele,Tharam S.Dillon fuzzy trust evaluation and credibility development in multi-agent systems[J].Applied Soft Computing,2007,7(2):492-505.
[1]李小勇,桂小林,毛倩,等.基于行为监控的自适应动态信任度测模型[J].计算机学报,2009,32(4):664-674.
[2]林闯,彭雪海.可信网络研究[J].计算机学报,2005,28(5):751-757.
[3]田立勤,林闯.基于双滑动窗口的用户行为信任评估机制[J].清华大学学报,2010,50(5):763-767.
[4]吕艳霞,田立勤,孙珊珊.云计算机环境下基于FANP的用户行为的可信评估与控制分析[J].计算机科学,2013,40(1):132-135.
[5]冀铁果,田立勤,胡志兴,等.可信网络中一种基于AHP的用户行为评估方法[J].计算机工程与应用,2007,43(19):123-151.