Nathan Jessurun, Olivia P. Dizon-Paradis, Jacob Harrison, Shajib Ghosh, M. Tehranipoor, D. Woodard, N. Asadizanjani
{"title":"FPIC: A Novel Semantic Dataset for Optical PCB Assurance","authors":"Nathan Jessurun, Olivia P. Dizon-Paradis, Jacob Harrison, Shajib Ghosh, M. Tehranipoor, D. Woodard, N. Asadizanjani","doi":"10.1145/3588032","DOIUrl":null,"url":null,"abstract":"Outsourced PCB fabrication necessitates increased hardware assurance capabilities. Several assurance techniques based on AOI have been proposed that leverage PCB images acquired using digital cameras. We review state-of-the-art AOI techniques and observe a strong, rapid trend toward ML solutions. These require significant amounts of labeled ground truth data, which is lacking in the publicly available PCB data space. We contribute the FPIC dataset to address this need. Additionally, we outline new hardware security methodologies enabled by our dataset.","PeriodicalId":50924,"journal":{"name":"ACM Journal on Emerging Technologies in Computing Systems","volume":"19 1","pages":"1 - 21"},"PeriodicalIF":2.1000,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Journal on Emerging Technologies in Computing Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3588032","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 5
Abstract
Outsourced PCB fabrication necessitates increased hardware assurance capabilities. Several assurance techniques based on AOI have been proposed that leverage PCB images acquired using digital cameras. We review state-of-the-art AOI techniques and observe a strong, rapid trend toward ML solutions. These require significant amounts of labeled ground truth data, which is lacking in the publicly available PCB data space. We contribute the FPIC dataset to address this need. Additionally, we outline new hardware security methodologies enabled by our dataset.
期刊介绍:
The Journal of Emerging Technologies in Computing Systems invites submissions of original technical papers describing research and development in emerging technologies in computing systems. Major economic and technical challenges are expected to impede the continued scaling of semiconductor devices. This has resulted in the search for alternate mechanical, biological/biochemical, nanoscale electronic, asynchronous and quantum computing and sensor technologies. As the underlying nanotechnologies continue to evolve in the labs of chemists, physicists, and biologists, it has become imperative for computer scientists and engineers to translate the potential of the basic building blocks (analogous to the transistor) emerging from these labs into information systems. Their design will face multiple challenges ranging from the inherent (un)reliability due to the self-assembly nature of the fabrication processes for nanotechnologies, from the complexity due to the sheer volume of nanodevices that will have to be integrated for complex functionality, and from the need to integrate these new nanotechnologies with silicon devices in the same system.
The journal provides comprehensive coverage of innovative work in the specification, design analysis, simulation, verification, testing, and evaluation of computing systems constructed out of emerging technologies and advanced semiconductors