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

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.

Self-adjustive DE and KELM-based image watermarking in DCT domain using fuzzy entropy

“…Being in a generation where social media dominates lives, media loses its authenticity. Due to this, an increasing need has been felt by the researchers to focus on protection schemes that help to identify ownership and authenticity (Huang et al, 2019). Some researchers back in 1992 proposed the embedding of an imperceptible 'digital watermark' into multimedia to deal with the problem.…”