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MonkeyDroid: Detecting Unreasonable Privacy Leakages of Android Applications

机译:MonkeyDroid:检测Android应用程序的不合理隐私泄漏

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Static and dynamic taint-analysis approaches have been developed to detect the processing of sensitive information. Unfortunately, faced with the result of analysis about operations of sensitive information, people have no idea of which operation is legitimate operation and which is stealthy malicious behavior. In this paper, we present Monkeydroid to pinpoint automatically whether the android application would leak sensitive information of users by distinguishing the reasonable and unreasonable operation of sensitive information on the basis of information provided by developer and market provider. We evaluated Monkeydroid over the top 500 apps on the Google play and experiments show that our tool can effectively distinguish malicious operations of sensitive information from legitimate ones.
机译:已经开发了静态和动态的污点分析方法来检测敏感信息的处理。不幸的是,面对对敏感信息的操作进行分析的结果,人们不知道哪个操作是合法操作,哪个是隐秘的恶意行为。在本文中,我们提出Monkeydroid通过根据开发人员和市场提供者提供的信息来区分敏感信息的合理和不合理操作,从而自动确定android应用程序是否会泄漏用户的敏感信息。我们在Google Play上排名前500的应用中对Monkeydroid进行了评估,实验表明,我们的工具可以有效地区分敏感信息的恶意操作与合法信息的恶意操作。

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