IC Cell Image Dataset using SEM Imaging

IC Cell Image Dataset using SEM Imaging

Description The "Explainable Vision System for Hardware Testing and Assurance" (EVHA) is a novel system developed for enhancing the security of semiconductor chips. It focuses on detecting hardware Trojans, which are subtle, yet harmful alterations in chip designs. The EVHA utilizes advanced scanning electron microscopy for in-depth analysis of integrated circuits, identifying any deviations from the original design at a microscopic level. This detection is crucial for maintaining hardware integrity, especially given the increasing trend of outsourcing in chip manufacturing. EVHA stands out for its precision, efficiency, and cost-effectiveness, offering a significant advancement in ensuring the trustworthiness and security of electronic devices in the global semiconductor industry.
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Mukhil Azhagan Mallaiyan Sathiaseelan, Olivia P. Paradis, Rajat Rai, Suryaprakash Vasudev Pandurangi, Manoj Yasaswi Vutukuru, Shayan Taheri, Navid Asadizanjani; October 31–November 4, 2021. "Logo Classification and Data Augmentation Techniques for PCB Assurance and Counterfeit Detection." Proceedings of the ISTFA 2021. ISTFA 2021: Conference Proceedings from the 47th International Symposium for Testing and Failure Analysis. Phoenix, Arizona, USA. (pp. 12-19). ASM. https://doi.org/10.31399/asm.cp.istfa2021p0012 @article{10.1145/3590772, author = {Al Hasan, Md. Mahfuz and Tahsin Mostafiz, Mohammad and An Le, Thomas and Julia, Jake and Vashistha, Nidish and Taheri, Shayan and Asadizanjani, Navid}, title = {EVHA: Explainable Vision System for Hardware Testing and Assurance—An Overview}, year = {2023}, issue_date = {July 2023}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {19}, number = {3}, issn = {1550-4832}, url = {https://doi.org/10.1145/3590772}, doi = {10.1145/3590772}, abstract = {Due to the ever-growing demands for electronic chips in different sectors, semiconductor companies have been mandated to offshore their manufacturing processes. This unwanted matter has made security and trustworthiness of their fabricated chips concerning and has caused the creation of hardware attacks. In this condition, different entities in the semiconductor supply chain can act maliciously and execute an attack on the design computing layers, from devices to systems. Our attack is a hardware Trojan that is inserted during mask generation/fabrication in an untrusted foundry. The Trojan leaves a footprint in the fabrication through addition, deletion, or change of design cells. To tackle this problem, we propose EVHA (Explainable Vision System for Hardware Testing and Assurance) in this work, which can detect the smallest possible change to a design in a low-cost, accurate, and fast manner. The inputs to this system are scanning electron microscopy images acquired from the integrated circuits under examination. The system output is the determination of integrated circuit status in terms of having any defect and/or hardware Trojan through addition, deletion, or change in the design cells at the cell level. This article provides an overview on the design, development, implementation, and analysis of our defense system.}, journal = {J. Emerg. Technol. Comput. Syst.}, month = {jun}, articleno = {24}, numpages = {25}, keywords = {Hardware security and trust, contrastive learning, Artificial Intelligence, self-supervised learning, generative adversarial networks, synthetic image generation, end-to-end learning, convolutional neural networks, scanning electron microscopy, computer vision, semi-invasive methods, hardware Trojan, physical inspection and assurance}}