Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1504/IJES.2019.097575 | INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS |
Keywords | Field | DocType |
IP watermark, position fuzzification, zero knowledge protocol, blind detection | Computer science,Internet of Things,Random sequence,Fuzzy set,Real-time computing,Watermark,Intellectual property,Computer engineering,Computational complexity theory | Journal |
Volume | Issue | ISSN |
11 | 1 | 1741-1068 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weihong Huang | 1 | 3 | 2.06 |
| Renfa Li | 2 | 647 | 97.10 |
| Jianbo Xu | 3 | 27 | 7.80 |
| Yin Huang | 4 | 0 | 0.34 |
| Yong Sheng | 5 | 0 | 0.34 |