%0 Journal Article
%T 基于改进朴素贝叶斯算法Android恶意应用的检测研究<br>Detection of Malicious Application Based on Improved Naive Bayesian Algorithm Android
%A 石汝振
%J Journal of Security and Safety Technology
%P 39-44
%@ 2330-4685
%D 2016
%I Hans Publishing
%R 10.12677/JSST.2016.43006
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">随着智能手机的普及，Android手机上的应用也越来越广泛，随之而来的问题是Android安全问题越来越严峻。各种恶意应用也层出不穷，严重威胁到用户的信息安全。本文首先介绍了当前的手机安全状况，并对当前的Android恶意应用的检测技术进行了分析。由于Android应用越来越严峻的形势，本文提出了一种基于改进的朴素贝叶斯算法，并应用此算法设计了恶意应用检测系统。本文中的系统应用了逆向分析的方式来产生恶意应用分类器。然后，本文对实验结果进行了分析。<br />
With the popularity of smart phones, Android mobile applications are becoming more widely and the attendant problem about the Android security issues becomes more critical. Malicious applications are endless. It is a serious threat to the user’s information security. This paper describes the current status of mobile security and the current Android malicious application detection techniques are analyzed. As the situation of Android applications becomes more and more serious, an improved Naive Bayes algorithm is proposed. The malicious application detection system is designed by using this algorithm. The system uses a reverse analysis method to produce the malicious application classifier. The experimental results are analyzed.</span><span style=\"line-height:1.5;\"></span> 
</div>
%K Android，朴素贝叶斯，逆向分析，分类器<br>Android
%K Naive Bayes
%K Reverse Analysis
%K Classifier
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=18512