DocumentCode
703858
Title
Privacy-preserving functional IP verification utilizing fully homomorphic encryption
Author
Konstantinou, Charalambos ; Keliris, Anastasis ; Maniatakos, Michail
Author_Institution
Polytech. Sch. of Eng., Electr. & Comput. Eng., New York Univ., New York, NY, USA
fYear
2015
fDate
9-13 March 2015
Firstpage
333
Lastpage
338
Abstract
Intellectual Property (IP) verification is a crucial component of System-on-Chip (SoC) design in the modern IC design business model. Given a globalized supply chain and an increasing demand for IP reuse, IP theft has become a major concern for the IC industry. In this paper, we address the trust issues that arise between IP owners and IP users during the functional verification of an IP core. Our proposed scheme ensures the privacy of IP owners and users, by a) generating a privacy-preserving version of the IP, which is functionally equivalent to the original design, and b) employing homomorphically encrypted input vectors. This allows the functional verification to be securely outsourced to a third-party, or to be executed by either parties, while revealing the least possible information regarding the test vectors and the IP core. Experiments on both combinational and sequential benchmark circuits demonstrate up to three orders of magnitude IP verification slowdown, due to the computationally intensive fully homomorphic operations, for different security parameter sizes.
Keywords
cryptography; data privacy; industrial property; IC design business model; IC industry; IP core; IP reuse; IP theft; IP users; SoC design; fully homomorphic encryption; functional verification; globalized supply chain; intellectual property verification; magnitude IP verification; privacy-preserving functional IP verification; privacy-preserving version; security parameter sizes; sequential benchmark circuits; system-on-chip; Encryption; IP networks; Libraries; Logic gates; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
Conference_Location
Grenoble
Print_ISBN
978-3-9815-3704-8
Type
conf
Filename
7092410
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