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首页> 外文会议>2014 Communications security conference >Detecting Hardware Trojan through heuristic partition and activity driven test pattern generation
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Detecting Hardware Trojan through heuristic partition and activity driven test pattern generation

机译：通过启发式分区和活动驱动的测试模式生成来检测硬件木马

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摘要

Hardware Trojan has emerged as an impending security threat to many critical systems. However, detecting hardware Trojan is extremely difficult due to Trojans are always triggered by rare events. Side-channel signal analysis is effective in detecting Trojan but facing the challenge with process variation and environment noise in nanotechnology. Moreover, side-channel approaches that analyze global signals cannot scale well to large circuits. This paper presents a heuristic partition and test pattern generation based localized signal analysis method for hardware Trojan detection. First, we partition the design into regions controlled by scan chains. Then a test vector ordering algorithm is used to generate optimized vectors which can magnify the activity in the target region where Trojan may be located. At last, power ports are placed in each region to measure the localized transient current anomalies for Trojan detection, while a signal calibration technique is used to eliminate the negative effect of process variation and noise. We evaluate our approach on ISCAS89 benchmark circuits and the results show that the proposed scheme can magnify the detection sensitivity in multiples from the state-of-the-art. Two further benefits of this method are that it can scale well to large circuits and determine Trojan's location.
机译：硬件木马已成为许多关键系统的迫在眉睫的安全威胁。但是，由于特洛伊木马总是由罕见事件触发，因此检测硬件特洛伊木马极其困难。旁通道信号分析可有效检测特洛伊木马，但面临纳米技术中工艺变化和环境噪声的挑战。此外，用于分析全局信号的​​边信道方法无法很好地扩展到大型电路。本文提出了一种基于启发式划分和测试模式生成的局部信号分析方法，用于硬件木马检测。首先，我们将设计划分为由扫描链控制的区域。然后，使用测试向量排序算法来生成优化的向量，该向量可以放大Trojan可能位于的目标区域中的活动。最后，将电源端口放置在每个区域中，以测量局部瞬态电流异常以进行特洛伊木马检测，同时使用信号校准技术消除过程变化和噪声的负面影响。我们在ISCAS89基准电路上评估了我们的方法，结果表明，该方案可以从最新技术放大倍数提高检测灵敏度。这种方法的另外两个好处是可以很好地扩展到大型电路并确定Trojan的位置。

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