别毁了我的广告!在广告支持的手机应用市场中平衡隐私

Ilias Leontiadis, Christos Efstratiou, Marco Picone, C. Mascolo
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引用次数: 173

摘要

应用程序市场已经彻底改变了手机的软件下载模式:第三方应用程序开发商在市场上提供软件,用户可以毫不费力地将其安装在手机上。然而,这一巨大的进步也给用户隐私带来了一些威胁:应用程序经常要求获得许可,以披露用户的位置、联系人和信息等私人信息。虽然研究界已经提出了一些防止用户隐私泄露给应用程序的机制,但这些解决方案没有考虑到应用程序市场主要是由依赖于准确分析用户的广告驱动的。在本文中,我们考虑到存在两方利益冲突:希望维护其隐私的用户和希望通过用户分析最大化广告收益的开发者。我们对Android市场上超过25万个应用程序进行了广泛的分析。我们的研究结果表明,目前的隐私保护机制并不有效,因为开发商和广告公司并没有被阻止。因此,我们设计并实施了一个具有市场意识的隐私保护框架,旨在实现开发者收益与用户隐私之间的平衡。拟议的框架是基于建立一个反馈控制回路来调整移动电话的隐私保护水平,以响应广告产生的收入。
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Don't kill my ads!: balancing privacy in an ad-supported mobile application market
Application markets have revolutionized the software download model of mobile phones: third-party application developers offer software on the market that users can effortlessly install on their phones. This great step forward, however, also imposes some threats to user privacy: applications often ask for permissions that reveal private information such as the user's location, contacts and messages. While some mechanisms to prevent leaks of user privacy to applications have been proposed by the research community, these solutions fail to consider that application markets are primarily driven by advertisements that rely on accurately profiling the user. In this paper we take into account that there are two parties with conflicting interests: the user, interested in maintaining their privacy and the developer who would like to maximize their advertisement revenue through user profiling. We have conducted an extensive analysis of more than 250,000 applications in the Android market. Our results indicate that the current privacy protection mechanisms are not effective as developers and advert companies are not deterred. Therefore, we designed and implemented a market-aware privacy protection framework that aims to achieve an equilibrium between the developer's revenue and the user's privacy. The proposed framework is based on the establishment of a feedback control loop that adjusts the level of privacy protection on mobile phones, in response to advertisement generated revenue.
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