计算机工程与应用Issue(7)：71-74,79,5.DOI:10.3778/j.issn.1002-8331.1309-0056
面向Android手机平台异常入侵检测的研究
Research on Android mobile phone platform for anomaly intrusion detection
摘要
Abstract
With the popularity of smart mobile phone, the harm of intrusion is more and more serious. This paper is, based on the Android smartphone platform, combined with intrusion detection research, to solve the problem of intrusion detection of smartphone. In order to give a reasonable judgment and update the phone as soon as possible, the paper collects the system and the network characteristic data on the Android platform, and uploads them to the remote cloud servers, then analyzes using Support Vector Machine(SVM). The experimental results show that, taking the kind of mechanism not only can reduce resource consumption of smart phones, but also can handle and response the intrusion as quickly as possible.关键词
智能手机/Android平台/入侵检测/支持向量机(SVM)Key words
smartphone/Android platform/intrusion detection/Support Vecior Machina(SVM)分类
信息技术与安全科学引用本文复制引用
杨午圣,孙敏..面向Android手机平台异常入侵检测的研究[J].计算机工程与应用,2014,(7):71-74,79,5.基金项目
国家自然科学基金（No.61100058）；山西省自然科学基金（No.2011011014-2）；山西省高校教学改革重点项目（No.J2013010）。 （）
