基于行为序列的软件用户异常获利模式发现
首发时间:2019-04-22
摘要:计算机软件的发展给用户的工作生活带来了极大的便利,但随着软件规模的扩大,在软件开发过程中由于需求设计过程或者软件开发过程中可能存在漏洞,而这些漏洞可能被一些软件用户利用,进行异常获利,而给企业带来极大的损失。基于用户在使用软件过程中的行为日志数据,通过序列挖掘算法对用户行为序列进行挖掘分析,序列挖掘算法利用的时用户行为序列的最长公共子序列来挖掘软件用户行为序列的规律,进而挖掘发现用户的异常获利行为模式。实验表明,采用序列挖掘技术能够对用户在软件使用过程中的异常获利行为序列进行发现,采用这种算法是可行有效的。
关键词: 序列挖掘 用户行为序列 软件异常获利 用户行为模式发现
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Software User Anomaly Profit Model Discovery Based on Behavior Sequence
Abstract:The development of computer software has brought great convenience to users\' work and life. However, with the expansion of software scale, there may be loopholes in the software development process due to the demand design process or software development process, and these vulnerabilities may be exploited by users. Enterprises bring great losses. The user behavior sequence is mined and analyzed based on the behavior sequence of the user in the process of using the software. The algorithm uses the longest common subsequence of the user behavior sequence to mine the rules of the software user behavior sequence, and performs the abnormal profit on the user. Behavior patterns are mined and discovered. Experiments show that the sequence mining technology can be used to discover the user\'s abnormal profit behavior sequence, and the experimental method is feasible and effective.
Keywords: Sequence Mining User Behavior Sequence Software AbnormalProfit User Behavior Pattern Discovery
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