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Creators/Authors contains: "Menon, Vineetha"

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  1. ; ; ; ; (, IEEE)
    Full Text Available 
  2. ; ; ; ; (, 2020 IEEE International Symposium on Hardware Oriented Security and Trust (HOST))
    Due to globalization in the semiconductor supply chain, counterfeit dynamic random-access memory (DRAM) chips/modules have been spreading worldwide at an alarming rate. Deploying counterfeit DRAM modules into an electronic system can severely affect security and reliability domains because of their sub-standard quality, poor performance, and shorter life span. Besides, studies suggest that a counterfeit DRAM can be more vulnerable to sophisticated attacks. However, detecting counterfeit DRAMs is very challenging because of their nature and ability to pass the initial testing. In this paper, we propose a technique to identify the DRAM origin (i.e., the origin of the manufacturer and the specification of individual DRAM) to detect and prevent counterfeit DRAM modules. A silicon evaluation shows that the proposed method reliably identifies off-the-shelf DRAM modules from three major manufacturers. 
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    Accepted Manuscript Full Text Available