Hardware Trojan Detection through Information Flow Security Verification
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Abstract (arXiv)
Semiconductor design houses are increasingly becoming dependent on third party vendors to procure intellectual property (IP) and meet time-to-market constraints. However, these third party IPs cannot be trusted as hardware Trojans can be maliciously inserted into them by untrusted vendors. While different approaches have been proposed to detect Trojans in third party IPs, their limitations have not been extensively studied. In this paper, we analyze the limitations of the state-of-the-art Trojan detection techniques and demonstrate with experimental results how to defeat these detection mechanisms. We then propose a Trojan detection framework based on information flow security (IFS) verification. Our framework detects violation of IFS policies caused by Trojans without the need of white-box knowledge of the IP. We experimentally validate the efficacy of our proposed technique by accurately identifying Trojans in the trust-hub benchmarks. We also demonstrate that our technique does not share the limitations of the previously proposed Trojan detection techniques.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Mar 2018.
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Citing papers per year: 2022: 2; 2023: 1; 2024: 1; 2025: 2.
6 papers.
- 2025SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Modelscited by 5
- 2022Golden Reference-Free Hardware Trojan Localization using Graph Convolutional Networkcited by 2
- 2024TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojanscited by 2
- 2022A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automationcited by 1
- 2025Automated Hardware Trojan Insertion in Industrial-Scale Designscited by 1
- 2023Evil from Within: Machine Learning Backdoors through Hardware Trojanscited by 0
- 2025Automated Hardware Trojan Insertion in Industrial-Scale Designs11 Nov 2025
- 2025SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models25 Jun 2025
- 2024TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans10 Dec 2024
- 2023Evil from Within: Machine Learning Backdoors through Hardware Trojans17 Apr 2023
- 2022Golden Reference-Free Hardware Trojan Localization using Graph Convolutional Network14 Jul 2022
- 2022A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation19 Apr 2022