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Many commercially available memory chips are fabricated worldwide inuntrusted facilities. Therefore, a counterfeit memory chip can easily enterinto the supply chain in different formats. Deploying these counterfeit memorychips into an electronic system can severely affect security and reliabilitydomains because of their sub-standard quality, poor performance, and shorterlifespan. Therefore, a proper solution is required to identify counterfeitmemory chips before deploying them in mission-, safety-, and security-criticalsystems. However, a single solution to prevent counterfeiting is challengingdue to the diversity of counterfeit types, sources, and refinement techniques.Besides, the chips can pass initial testing and still fail while being used inthe system. Furthermore, existing solutions focus on detecting a singlecounterfeit type (e.g., detecting recycled memory chips). This work proposes aframework that detects major counterfeit static random-access memory (SRAM)types by attesting/identifying the origin of the manufacturer. The proposedtechnique generates a single signature for a manufacturer and does not requireany exhaustive registration/authentication process. We validate our proposedtechnique using 345 SRAM chips produced by major manufacturers. The siliconresults show that the test scores ($F_{1}$ score) of our proposed technique ofidentifying memory manufacturer and part-number are 93% and 71%, respectively.

A Non-invasive Technique to Detect Authentic/Counterfeit SRAM Chips