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A Novel Counterfeit Detection Approach for Integrated Circuit Supply Chain Assurance

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Abstract

The electronics industry has become a primary target in the global market of counterfeiting. Counterfeit electronic parts transverse through the supply chain end up in critical avionics, industrial, medical, and military systems, and the financial loss due to these parts is in the billions. A vast majority of counterfeit parts within the electronics industry are integrated circuits. In this paper, a new (near real-time) counterfeit detection process, which is based upon infrared thermal imaging, intensive statistical analysis, and machine learning, to differentiate between authentic and inauthentic electronic parts is presented and then showcased as a highly accurate and cost-effective method to verify hardware authenticity.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Howard University, Washington, DC, 20059, USA

    Preston D. Frazier, E. Thomas Gilmore III, Isaac J. Collins II, Wardell E. Samotshozo & Mohamed F. Chouikha

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  1. Preston D. Frazier
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  2. E. Thomas Gilmore III
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  3. Isaac J. Collins II
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  4. Wardell E. Samotshozo
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  5. Mohamed F. Chouikha
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Correspondence to Preston D. Frazier.

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Frazier, P.D., Thomas Gilmore, E., Collins, I.J. et al. A Novel Counterfeit Detection Approach for Integrated Circuit Supply Chain Assurance. J Hardw Syst Secur 2, 240–250 (2018). https://doi.org/10.1007/s41635-018-0041-6

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  • DOI: https://doi.org/10.1007/s41635-018-0041-6

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