Title: A fast-blind IP watermark detection scheme based on position fuzzification

Authors: Weihong Huang; Renfa Li; Jianbo Xu; Yin Huang; Yong Sheng

Addresses: College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China; College of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China ' College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China ' College of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China ' College of Software, Xiamen University of Technology, Xiamen, Fujian 361024, China ' College of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China

Abstract: The rapid advancement in internet of things (IoTs) has created new demands for intellectual property (IP) protection. Existing zero-knowledge-based IP watermark detection schemes have low performance in real-time detection. To address this issue, we propose a position fuzzification-based IP watermark detection scheme mainly aiming to reduce the rounds of inquiry. Firstly, a random sequence is produced by chaos system to scramble all the resource positions of an IP design. Then watermark positions are fuzzified to make the scramble algorithm irreversible. A verifier can achieve zero-knowledge proof of IP ownership by one round of inquiry. Experiments show that the proposed scheme can greatly reduce computational complexity during blind IP watermark detection and enhance performance in real-time watermark detection.

Keywords: IP watermark; position fuzzification; zero knowledge protocol; blind detection.

DOI: 10.1504/IJES.2019.097575

International Journal of Embedded Systems, 2019 Vol.11 No.1, pp.94 - 105

Received: 18 Sep 2018
Accepted: 27 Sep 2018
Published online: 29 Jan 2019 *

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