Lune

DAC2020Top-tier venue

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

Jiaji He, Xiaolong Guo, Haocheng Ma, Yanjiang Liu, Yiqiang Zhao, Yier Jin

2020Year
25Citations
1Top-tier citations

Abstract

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.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext d2eeed88-1746-4a5a-aa0b-cf885645cd42

Cited by top-tier papers1

Ask how each one uses it

Builds on1

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines