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A Study on Static Analysis Model of Mobile Application for Privacy Protection

机译:移动应用隐私保护静态分析模型研究

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Since mobile application market drastically extended, there have been many problems related to proliferative malicious applications that leak user's private information stored in own smart device. In Korea, government strives to protect smart device users from these problems and to establish legal basis through 'Privacy Act' as a preceding step but studies on analysis models and verification tools for mobile application have not yet much developed. The purpose of this research is to suggest an analysis system to prevent propagation of harmful applications, which compromise the user's personal information, by extracting signatures from malicious code samples detected in Android. Maliciousness of the applications has determined by learning their parsing information on the components such as DEX, Manifest, SO etc.
机译:自从移动应用市场急剧扩展以来,已经出现了与扩散性恶意应用有关的许多问题,这些恶意应用泄露了存储在自己的智能设备中的用户私人信息。在韩国,政府努力保护智能设备用户免受这些问题的侵害,并通过《隐私权法》确立法律基础作为前一步,但是,针对移动应用程序的分析模型和验证工具的研究尚未开展。这项研究的目的是建议一种分析系统,通过从Android中检测到的恶意代码样本中提取签名,来防止危害用户个人信息的有害应用程序的传播。通过了解应用程序在诸如DEX,Manifest,SO等组件上的解析信息,可以确定应用程序的恶意程度。

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