Inter-IP Malicious Modification Detection through Static Information Flow Tracking

Zhaoxiang Liu, Orlando Arias, Weimin Fu, Yier Jin, Xiaolong Guo
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引用次数: 2

Abstract

To help expand the usage of formal methods in the hardware security domain. We propose a static register-transfer level (RTL) security analysis framework and an electronic design automation (EDA) tool named If-Tracker to support the proposed framework. Through this framework, a data-flow model will be automatically extracted from the RTL description of the SoC. Information flow security properties will then be generated. The tool checks all possible inter-IP paths to verify whether any property violations exist. The effectiveness of the proposed framework is demonstrated on customized SoC designs using AMBA bus where malicious modifications are inserted across multiple IPs. Existing IP level security analysis tools cannot detect such Trojans. Compared to commercial formal tools such as Cadence JasperGold and Synopsys VC-Formal, our framework provides a much simpler user interface and can identify more types of malicious modifications.
基于静态信息流跟踪的ip间恶意修改检测
帮助扩展形式化方法在硬件安全领域的使用。我们提出了一个静态寄存器传输级(RTL)安全分析框架和一个名为If-Tracker的电子设计自动化(EDA)工具来支持所提出的框架。通过该框架,将自动从SoC的RTL描述中提取数据流模型。然后将生成信息流安全属性。该工具检查所有可能的ip间路径,以验证是否存在任何违反属性的情况。该框架的有效性在使用AMBA总线的定制SoC设计中得到了验证,其中恶意修改可以跨多个ip插入。现有的IP级安全分析工具无法检测到此类木马。与商业正式工具(如Cadence JasperGold和Synopsys VC-Formal)相比,我们的框架提供了更简单的用户界面,可以识别更多类型的恶意修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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