移动通信Issue(2)：83-87,5.DOI:10.3969/j.issn.1006-1010.2016.02.017
基于TF-IDF算法的AAA服务异常检测机制研究
Research on AAA Service Anomaly Detection Mechanism Based on TF-IDF Algorithm
摘要
Abstract
Based on AAA service log files of a telecommunications company in 2014, the proportion distribution of authentication results was addressed, and then the behavior types of data sources leading to abnormal service state were summarized, i.e. malicious login and quantity limitation attack. According to the flaws of existing anomaly detection mechanisms in efficiency and accuracy, an anomaly detection mechanism based on TF-IDF algorithm with parameter replacement was proposed. It calculates the correlation between the data source to be filtered and the abnormal data source set to efficiently discover and confirm other abnormal data sources. Finally, simulation experiments verified the effectiveness and efficiency of the mechanism.关键词
AAA服务/异常日志/TF-IDF算法/异常检测Key words
AAA Service/abnormal log/TF-IDF algorithm/anomaly detection分类
信息技术与安全科学引用本文复制引用
黄晓丹,罗伟,李秀峰,李晓冰,刘建建..基于TF-IDF算法的AAA服务异常检测机制研究[J].移动通信,2016,(2):83-87,5.基金项目
国家自然科学基金 （）
