在门级通过结构跟踪数据流

Thao Le, J. Di, M. Tehranipoor, Domenic Forte, Lei Wang
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引用次数: 9

摘要

物联网和其他电子设备的快速发展对数据传输的方式和地点产生了巨大影响。机密数据(例如,个人数据、财务信息)通过不可靠的渠道传播,可能会暴露给攻击者。在硬件领域,秘密密钥等机密数据也面临着同样的问题。当IP来自第三方并包含扫描链时,这个问题甚至更严重。因此,在应对此类硬件安全威胁时,数据流跟踪对于分析可能的泄漏通道非常重要。本文介绍了一种利用资产和结构检查工具跟踪网关级软ip数据流并检测潜在硬件木马的方法。
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Tracking data flow at gate-level through structural
The rapid growth of Internet-of-things and other electronic devices make a huge impact on how and where data travel. The confidential data (e.g., personal data, financial information) that travel through unreliable channels can be exposed to attackers. In hardware, the confidential data such as secret cipher keys are facing the same issue. This problem is even more serious when the IP is from a 3rd party and contains scan-chains. Thus, data flow tracking is important to analyze possible leakage channels in fighting against such hardware security threats. This paper introduces a method for tracking data flow and detecting potential hardware Trojans in gate-level soft IPs using assets and Structural Checking tool.
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