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作 者:朱锐 ZHU Rui(School of Continuing Education,Xi’an University of Finance and Economics,Xi’an Shanxi 710061,China)
机构地区:[1]西安财经大学继续教育学院
出 处:《计算机仿真》2019年第12期155-158,共4页Computer Simulation
摘 要:为了防止网络转发信息过程中发生隐私泄露的现象,而且还要尽量减少匿名保护时的信息损失。提出基于权重属性熵分类的网络转发信息匿名方法。首先对多主机网络转发信息进行概化处理,引用信息熵概念获取分类权重属性熵比率最好的网络转发信息准标识符属性,以此来对分类树进行有利的划分,建立网络转发信息匿名损失度量,在更好地保护网络转发信息的前提下确保了网络转发信息实际效用。实验结果表明,该方法能够有效的满足网络转发信息匿名保护需求,同时还能减少进行损失。In order to prevent the privacy leakage during the information forwarding and reduce the information loss during anonymous protection,this article presented an anonymous method of network forwarding information based on weight attribute entropy classification.Firstly,the multi-host network forwarding information was generalized.Then,information entropy concept was introduced to get the quasi-identifier attribute of network forwarding information with the best ratio of classification weight attribute entropy,so as to facilitate the classification of classification tree.Moreover,the anonymous loss measurement of network forwarding information was established.Based on the protection of network forwarding information,the actual utility of network forwarding information can be guaranteed.Experimental results show that the method can effectively meet the demand of anonymous protection in network information forwarding.Meanwhile,the loss can be reduced.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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