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Designing System-Level Defenses against Cellphone Malware

机译：针对手机恶意软件设计系统级防御

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摘要

Cellphones are increasingly becoming attractive targets of various malware, which not only cause privacy leakage, extra charges, and depletion of battery power, but also introduce malicious traffic into networks. In this work, we seek system-level solutions to handle these security threats. Specifically, we propose a mandatory access control–based defense to blocking malware that launch attacks through creating new processes for execution. To combat more elaborated malware which redirect program flows of normal applications to execute malicious code within a legitimate security domain, we further propose using artificial intelligence (AI) techniques such as Graphic Turing test. Through extensive experiments based on both Symbian and Linux smartphones, we show that both our system-level countermeasures effectively detect and block cellphone malware with low false positives, and can be easily deployed on existing smartphone hardware.
机译：手机越来越多地成为各种恶意软件的吸引力目标，这不仅导致隐私泄漏，额外的电费和电池电量的消耗，而且还将恶意流量引入网络中。在这项工作中，我们寻求系统级解决方案来处理这些安全威胁。具体而言，我们提出了一种强制性访问控制的防御，以阻止通过创建新进程来启动攻击的恶意软件。为了打击更详细的恶意软件，重定向程序流量的正常应用程序的流程以在合法的安全域内执行恶意代码，我们进一步建议使用人工智能（AI）技术，例如图形图灵测试。通过基于Symbian和Linux智能手机的广泛实验，我们表明我们的系统级对策都有效地检测和阻止具有低误报的手机恶意软件，并且可以轻松地部署在现有的智能手机硬件上。

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