Visible to the public Biblio

Filters: Author is Nahiyan, A.  [Clear All Filters]
2018-04-11
Nahiyan, A., Sadi, M., Vittal, R., Contreras, G., Forte, D., Tehranipoor, M..  2017.  Hardware Trojan Detection through Information Flow Security Verification. 2017 IEEE International Test Conference (ITC). :1–10.

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.

2017-12-12
Contreras, G. K., Nahiyan, A., Bhunia, S., Forte, D., Tehranipoor, M..  2017.  Security vulnerability analysis of design-for-test exploits for asset protection in SoCs. 2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC). :617–622.

SoCs implementing security modules should be both testable and secure. Oversights in a design's test structure could expose internal modules creating security vulnerabilities during test. In this paper, for the first time, we propose a novel automated security vulnerability analysis framework to identify violations of confidentiality, integrity, and availability policies caused by test structures and designer oversights during SoC integration. Results demonstrate existing information leakage vulnerabilities in implementations of various encryption algorithms and secure microprocessors. These can be exploited to obtain secret keys, control finite state machines, or gain unauthorized access to memory read/write functions.