Recycled SoC Detection Using LDO Degradation

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ORIGINAL RESEARCH

Recycled SoC Detection Using LDO Degradation Sreeja Chowdhury1,2   · Fatemeh Ganji1,3 · Domenic Forte1 Received: 1 June 2020 / Accepted: 10 September 2020 © Springer Nature Singapore Pte Ltd 2020

Abstract Counterfeit electronics form a major roadblock towards a safe and successful economy. An increase in globalization has led to a major increase in the total number of counterfeit products all around the world. While several methods have been designed to detect counterfeits, very few of them have been applied to the system-on-chip (SoC). The influx of a variety of components in SoCs and the conglomeration of different types of properties makes it difficult to detect counterfeit SoCs. In this paper, we aim at detecting recycled counterfeit SoCs by evaluating the degradation of power supply rejection ratio (PSRR) of a low drop-out (LDO) regulator, a principal component of the power supply of the SoC. Since the power supply is a universal component in all SoCs, this method can be considered effective for most SoCs. We apply machine learning (ML) algorithms pertaining to the family of Gaussian mixture models to classify SoCs as recycled or new. Supervised and unsupervised ML algorithms show an accuracy of up to 90% and 74% of recycled detection. We also apply stand-alone LDO PSRR degradation to train the ML algorithm and test on PSRR from embedded LDOs in SoCs. This form of semisupervised ML performed well for our previous experiments of recycled detection with stand-alone LDOs but was not able to distinguish recycled SoCs from new SoCs, thus increasing the number of false detection. Keywords  Recycled counterfeits · SoC recycled detection · LDO · PSRR · machine learning ML · bayesian ML

Introduction Counterfeit electronics constitute a significant threat to the global supply chain and jeopardize the root of trust in consumer, military as well as other forms of electronics. A counterfeit electronic component is defined as an electronic part that is (1) an unauthorized copy, (2) does not conform to original component manufacturer’s design, model, or This article is part of the topical collection “Hardware-Assisted Security Solutions for Electronic Systems” guest edited by Himanshu Thapliyal, Saraju P. Mohanty, Wujie Wen and Yiran Chen. * Sreeja Chowdhury [email protected] Fatemeh Ganji [email protected] Domenic Forte [email protected] 1



University of Florida, Gainesville, USA

2



Present Address: Ansys Inc, San Jose, CA, USA

3

Present Address: Worcester Polytechnic Institute, Worcester, MA, USA



performance, (3) is not produced by the original component manufacturer or is produced by unauthorized contractors, (4) is an off-specification, defective, or used original component manufacturer’s product sold as “new” or working, or (5) has incorrect or false markings and/or documentation. The taxonomy of counterfeit integrated circuits (ICs) has been described in detail in Ref. [9]. Among the different counterfeit types, Recycled and remarked counterfeits comprise more than 80% of report