{"id":10208,"date":"2024-12-09T16:42:41","date_gmt":"2024-12-09T16:42:41","guid":{"rendered":"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=10208"},"modified":"2024-12-10T21:26:49","modified_gmt":"2024-12-10T21:26:49","slug":"electrical-and-computer-exploring-security-solutions-for-semiconductor-supply-chains","status":"publish","type":"post","link":"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=10208","title":{"rendered":"Electrical and Computer: Exploring security solutions for semiconductor supply chains"},"content":{"rendered":"
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Ujjwal Guin<\/figcaption><\/figure>\n

Rapid advancements in the semiconductor industry have enabled the broad adoption of electronics into multiple sectors of society, including commercial, industrial and defense spaces, often improving quality of life while increasing business efficiency. That\u2019s the good news.<\/p>\n

The globalization of electronics, however, opens a Pandora\u2019s box of threats with untrusted products, counterfeit integrated circuits, intellectual property piracy, cloning and other malicious modifications. That\u2019s the bad news.<\/p>\n

Ujjwal Guin, the Godbold Associate Professor of electrical and computer engineering, has an idea that could help resolve some of these potential issues. His co-authored proposal, \u201cSecuring semiconductor supply chains and networks using zero-knowledge proofs and blockchain,\u201d earned a $1.8 million grant from the Air Force Office of Scientific Research (AFSOR). He is joined by co-PIs from the University of Southern California, Cornell and Tel- Aviv Universities.<\/p>\n

\u201cThe primary objective of this proposal is to develop novel solutions using zero-knowledge proofs and blockchain technologies to enable security in electronic hardware, as well as to enable routing data securely over dynamic communication networks,\u201d Guin said.<\/p>\n

\u201cOur objective is to integrate zero-knowledge proofs into blockchain to address various hardware and network threats.\u201d<\/p>\n

Guin said these proofs help secure the Internet of Things and cyber-physical systems against malicious adversaries by creating zero-knowledge properties, allowing an adversary to \u201clearn nothing.\u201d In the meantime, the proof protocol \u201ccan effectively identify the adversaries with inherent properties.\u201d<\/p>\n

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