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A Method of Malicious Application Detection

机译:一种恶意应用检测方法

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摘要

With the rapid development of broadband wireless access technology and mobile terminal, the mobile internet developed quickly in recent years. However, malicious applications have become one of the key factors threatening the development of mobile internet. In order to protect vital interest of mobile terminal users, mobile malicious applications should be effectively prevented and controlled. This paper analyzes the existence limitation of current mobile application detection technology and uses symbolic execution on the base of stream tracing. Malicious code writers usually hide malicious code execution path, and in some special circumstances to trigger some malicious behaviors. We constraint solve execution routes with sensitive calls, and ultimately solve the specific backstage behaviors and trigger conditions. We did some experiments to evaluate the performance of the proposed method. The experimental results show that our method can work well.
机译:随着宽带无线接入技术和移动终端的快速发展,近年来移动互联网快速发展。然而,恶意应用已成为威胁移动互联网发展的关键因素之一。为了保护移动终端用户的重要兴趣,应有效地防止和控制移动恶意应用。本文分析了当前移动应用检测技术的存在限制,并在流跟踪基础上使用符号执行。恶意代码编写者通常隐藏恶意代码执行路径,在某些特殊情况下触发一些恶意行为。我们约束具有敏感呼叫的执行路由,并最终解决特定的后台行为和触发条件。我们做了一些实验来评估所提出的方法的性能。实验结果表明,我们的方法可以很好地工作。

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