基于SVM的Android应用程序安全检测综述

当前基于SVM的Android应用程序安全检测技术主要是通过将SVM算法与动静态分析方法相结合,应用于Android应用程序的漏洞和恶意软件的检测中,而恶意软件的检测又可分为恶意行为的检测和恶意代码的检测。故本文按SVM算法应用到的检测领域分类,分别对其应用于Android应用程序中的恶意行为检测、恶意代码检测和漏洞检测方面的研究进行分析与讨论,并总结了当前该领域中仍然存在的一些问题,给出了SVM算法和其应用于Android安全检测中的改进之处,最后对未来的发展进行了展望。

Survey on Android application security detection based on SVM

Nowadays the Android application security detection technology based on SVM is mainly applied to detect Android application vulnerabilities and malicious software, which is generally combined with both static and dynamic analysis methods. What"s more, malicious software detection can be divided into malicious behavior detection and malicious code detection. So, firstly, according to the field of SVM algorithm applied to security detection, this paper makes a classification and discusses the related research of SVM algorithm which is applied to the fields of malicious behavior detection, malicious code detection and vulnerability detection in Android applications. Then this paper summarizes the current problems which are still exist in this field, and analyzes the methods to improve SVM and its questions on Android security detection application. Finally, the prospect for the future development is discussed.