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Property Based Formal Security Verification for Hardware Trojan Detection

机译:基于物业的硬件特洛伊木马检测正式安全验证

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The design of modern computer hardware heavily relies on third-party intellectual property (IP) cores, which may contain malicious hardware Trojans that could be exploited by an adversary to leak secret information or take control of the system. Existing hardware Trojan detection methods either require a golden reference design for comparison or extensive functional testing to identify suspicious signals. In this paper, we propose a new formal verification method to verify the security of hardware designs. The proposed solution formalizes fine grained gate level information flow model for proving security properties of hardware designs in the Coq theorem prover environment. Compare with existing register transfer level (RTL) information flow security models, our model only needs to translate a small number of logic primitives to their formal representations without the need of supporting the rich RTL HDL semantics or dealing with complex conditional branch or loop structures. As a result, a gate level information flow model can be created at much lower complexity while achieving significantly higher precision in modeling the security behavior of hardware designs. We use the AES-T1700 benchmark from Trust-HUB to demonstrate the effectiveness of our solution. Experimental results show that our method can detect and pinpoint the Trojan.
机译:现代计算机硬件的设计严重依赖于第三方知识产权(IP)核心,这可能包含可恶意硬件特洛伊木马,这些特洛伊木马可以通过对手来利用来泄露秘密信息或控制系统。现有的硬件特洛伊木马检测方法需要Golden参考设计进行比较或广泛的功能测试以识别可疑信号。在本文中,我们提出了一种新的正式验证方法来验证硬件设计的安全性。所提出的解决方案正式确定细粒栅极电平信息流模型,以便在COQ定理箴言环境中证明硬件设计的安全性质。与现有寄存器传输级别(RTL)信息流安全模型进行比较,我们的模型只需要将少量逻辑基元转换为正式表示,而无需支持Rich RTL HDL语义或处理复杂的条件分支或循环结构。结果,可以以更低的复杂性创建栅极电平信息流模型,同时在建模硬件设计的安全性行为来实现显着更高的精度。我们使用来自Trust-Hub的AES-T1700基准来证明我们解决方案的有效性。实验结果表明,我们的方法可以检测和定位木马。

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