首页> 外文会议>ACM/IEEE Design Automation Conference >Runtime Trust Evaluation and Hardware Trojan Detection Using On-Chip EM Sensors
【24h】

Runtime Trust Evaluation and Hardware Trojan Detection Using On-Chip EM Sensors

机译:使用片上EM传感器的运行时信任评估和硬件木马检测

获取原文

摘要

It has been widely demonstrated that the utilization of postdeployment trust evaluation approaches, such as side-channel measurements, along with statistical analysis methods is effective for detecting hardware Trojans in fabricated integrated circuits (ICs). However, more sophisticated Trojans proposed recently invalidate these methods with stealthy triggers and very-low side-channel signatures. Upon these challenges, in this paper, we propose an electromagnetic (EM) side-channel based post-fabrication trust evaluation framework which monitors EM radiations at runtime. The key component of the runtime trust evaluation framework is an on-chip EM sensor which can constantly measure and collect EM side-channel information of the target circuit. The simulation results validate the capability of the proposed framework in detecting stealthy hardware Trojans. Further, we fabricate an AES circuit protected by the proposed trust evaluation framework along with four different types of hardware Trojans. The measurements on the fabricated chips prove two key findings. First, the on-chip EM sensor can achieve a higher signal to noise ratio (SNR) and thus facilitate a better Trojan detection accuracy. Second, the trust evaluation framework can help detect different hardware Trojans at runtime.
机译:业已广泛证明,利用部署后信任评估方法(如边信道测量)以及统计分析方法可有效地检测出制造集成电路(IC)中的硬件特洛伊木马。但是,最近提出的更复杂的特洛伊木马程序通过隐秘的触发器和非常低的边信道签名使这些方法无效。针对这些挑战,在本文中,我们提出了一种基于电磁(EM)侧通道的制造后信任评估框架,该框架可在运行时监视EM辐射。运行时信任评估框架的关键组件是片上EM传感器,它可以不断地测量和收集目标电路的EM侧信道信息。仿真结果验证了所提出框架在检测隐形硬件木马中的能力。此外,我们还制作了一种受拟议的信任评估框架保护的AES电路,以及四种不同类型的硬件木马。对制成的芯片的测量证明了两个关键发现。首先,片上EM传感器可以实现更高的信噪比(SNR),从而促进更好的Trojan检测精度。其次,信任评估框架可以帮助在运行时检测不同的硬件木马。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号