高技术通讯2017，Vol.27Issue(5)：410-415,6.DOI:10.3772/j.issn.1002-0470.2017.05.004
基于分布式PageRank算法的可疑目标挖掘
Suspicious target mining based on distributed PageRank algorithm
摘要
Abstract
Considering that Malicious Trojans, viruses and others spread through URL and this poses a major threat to network security, the study proposed an efficient algorithm for screening and filtering suspicious URL targets based on distributed PageRank link analysis.The algorithm through constructing a model for calculation and analysis of URL hazard iteratively calculates the valus of target risks, and this continues until the convergence state.Finally, it selects the suspicious target according to its dangerous value.The effectiveness of the algorithm was verified by experiment, and the experimental results show that the distributed PageRank link analysis can adapt to large matrix computation, and can effectively analyze suspicious URL targets.关键词
网络安全/云计算/MapReduce/PageRank/可疑目标挖掘Key words
network security/cloud computing/MapReduce/PageRank/suspicious target mining引用本文复制引用
李国玉,周广禄,张兆心..基于分布式PageRank算法的可疑目标挖掘[J].高技术通讯,2017,27(5):410-415,6.基金项目
国家科技支撑计划(2012BAH45B01),国家自然科学基金(61100189,61370215,61370211, 61402137)和国家信息安全242计划(2016A104)资助项目. （2012BAH45B01）
