Impacts of machine learning on counterfeit IC detection and avoidance techniques

O Aramoon, G Qu - 2020 21st International Symposium on …, 2020 - ieeexplore.ieee.org
Globalization of integrated circuit (IC) supply chain has made counterfeiting a major source
of concern in the semiconductor industry. To address this concern, extensive efforts have …

A survey and perspective on artificial intelligence for security-aware electronic design automation

D Koblah, R Acharya, D Capecci… - ACM Transactions on …, 2023 - dl.acm.org
Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly
used in several fields to improve performance and the level of automation. In recent years …

Two sides of the same coin: Boons and banes of machine learning in hardware security

W Liu, CH Chang, X Wang, C Liu… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The last decade has witnessed remarkable research advances at the intersection of
machine learning (ML) and hardware security. The confluence of the two technologies has …

Towards the avoidance of counterfeit memory: Identifying the DRAM origin

BMSB Talukder, V Menon, B Ray… - … Security and Trust …, 2020 - ieeexplore.ieee.org
Due to the globalization in the semiconductor supply chain, counterfeit dynamic random-
access memory (DRAM) chips/modules have been spreading worldwide at an alarming rate …

A Noninvasive Technique to Detect Authentic/Counterfeit SRAM Chips

BMS Bahar Talukder, F Ferdaus… - ACM Journal on Emerging …, 2023 - dl.acm.org
Many commercially available memory chips are fabricated worldwide in untrusted facilities.
Therefore, a counterfeit memory chip can easily enter into the supply chain in different …

Emforced: Em-based fingerprinting framework for counterfeit detection with demonstration on remarked and cloned ics

A Stern, U Botero, B Shakya, H Shen… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Today's globalized electronics supply chain is prone to counterfeit chip proliferation. Existing
techniques to detect counterfeit integrated circuits (ICs) are limited by relatively high cost …

The Role of Artificial Intelligence and Machine Learning in Supply Chain Management and its Task Model

K Singh, SB Goyal, P Bedi - 2020 3rd International Conference …, 2020 - ieeexplore.ieee.org
The purpose of the study to demonstrate newly developed logic functions by researchers
that have used in the developing world, which have utilized in the supply chain management …

Machine Learning in Alternate Testing of Integrated Circuits

J Liaperdos, A Arapoyanni, Y Tsiatouhas - Machine Learning Paradigms …, 2019 - Springer
Integrated circuit (IC) fabrication involves sophisticated and sensitive equipment, while
design complexity and scale of integration are increasing in order to obtain the largest …

[PDF][PDF] A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation

S TAJIK, F GANJI, DL WOODARD, D FORTE - 2022 - researchgate.net
Authors' addresses: David Selasi Koblah, dkoblah@ ul. edu; Rabin Yu Acharya, rabin.
acharya@ ul. edu; Daniel Capecci; Olivia P. Dizon-Paradis, Florida Institute for …

Applications of Machine Learning in Test Cost Reduction, Yield Estimation and Fab-Of-Origin Attestation of Integrated Circuits

A Ahmadi - 2017 - utd-ir.tdl.org
The semiconductor manufacturing industry is one of the most technologically advanced and
cost-intensive industries. It has been a key driver for economic development and has …