智能手机窃听和混淆技术

Supriyo Chakraborty, Omer Tripp
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引用次数: 4

摘要

移动应用程序经常收集个人数据并与不值得信任的第三方应用程序共享,这可能导致数据滥用和隐私侵犯。大多数收集到的数据来自内置在移动设备中的传感器,其中一些传感器被移动平台视为敏感,而另一些则允许无条件访问。容易侵犯隐私的传感器有麦克风、摄像头和GPS系统。对这些传感器的访问总是通过受保护的函数调用进行调解。另一方面,光传感器、加速度计和陀螺仪被认为是无害的。所有应用程序都可以不受限制地访问他们的数据。不幸的是,这种差距并不总是合理的。Android上最先进的隐私机制提供了不足的访问控制,并没有解决由于对智能手机上所谓无害传感器的无中介访问而产生的漏洞。我们已经开发了技术来展示这些威胁。作为我们演示的一部分,我们使用手机上的无害传感器来说明可能的攻击。作为解决方案,我们提出了ipShield,这是一个框架,它为用户提供了在运行时对其资源的更大控制,以防止此类攻击。我们通过修改AOSP实现了ipShield。
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Eavesdropping and Obfuscation Techniques for Smartphones
Mobile apps often collect and share personal data with untrustworthy third-party apps, which may lead to data misuse and privacy violations. Most of the collected data originates from sensors built into the mobile device, where some of the sensors are treated as sensitive by the mobile platform while others permit unconditional access. Examples of privacy-prone sensors are the microphone, camera and GPS system. Access to these sensors is always mediated by protected function calls. On the other hand, the light sensor, accelerometer and gyroscope are considered innocuous. All apps have unrestricted access to their data. Unfortunately, this gap is not always justified. State-of-the-art privacy mechanisms on Android provide inadequate access control and do not address the vulnerabilities that arise due to unmediated access to so-called innocuous sensors on smartphones. We have developed techniques to demonstrate these threats. As part of our demonstration, we illustrate possible attacks using the innocuous sensors on the phone. As a solution, we present ipShield, a framework that provides users with greater control over their resources at runtime so as to protect against such attacks. We have implemented ipShield by modifying the AOSP.
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