摘要
对互联网用户关键信息进行识别,能够有效提高互联网用户隐私信息安全性。互联网用户关键信息的识别,需要选取用户关键信息子空间,对源地址做最长前缀匹配,完成海量用户关键信息准确识别。传统方法先消除用户信息冗余节点,提取用户信息特征集,但忽略了匹配用户关键信息对应源地址,导致识别精度低。提出基于规则匹配的用户关键信息准确识别方法。设计海量用户关键信息准确识别器,得到各用户关键信息过滤规则的域,确定切割次数,对用户关键信息空间进行划分,选择切割维度和数量,计算各维度包含规则数目最大值,对用户关键信息切割后子空间进行选取,对包头源IP地址做最长前缀匹配,选择最高优先级规则为最终匹配结果,完成互联网海量数据中用户关键信息的识别。实验结果表明,所提方法用户信息准确识别精度高,传输速率高,为提升互联网用户信息安全奠定基础。
An accurate identification method of user key information based on rule matching is proposed. The ac- curate recognizer of massive user key information is designed to get the domain of fihering rule of user key informa- tion. Then, the number of cutting is determined to divide the space of user key information. Moreover, the cutting di- mension and cutting quantity are selected to calculate the maximum value of the number of rules contained in each di- mension. Finally, the subspace is chosen after cutting user key information and the longest prefix matching is performed for source IP address in packet headers. Thus, the highest priority rule is selected as the final matching result to complete the identification of user key information in massive data on Internet. Simulation results show that the proposed method has high identification accuracy and high transmission rate on user information.
作者
杜静
杨军
DU Jing,YANG Jun(Department of Information Engineering, Ningxia University, Yinehuan Ningxia 750021, Chin)
出处
《计算机仿真》
北大核心
2018年第5期258-261,共4页
Computer Simulation
关键词
互联网
用户关键信息
信息识别
Internet
User key information
Information identification
