Name
Abstract | ||
|---|---|---|
At ISNN'04, a novel symmetric cipher was proposed, by combining a chaotic signal and a clipped neural network (CNN) for encryption. The present paper analyzes the security of this chaotic cipher against chosen-plaintext attacks, and points out that this cipher can be broken by a chosen-plaintext attack. Experimental analyses are given to support the feasibility of the proposed attack. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/11427445_103 | ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II |
Keywords | DocType | Volume |
neural network | Journal | 3497 |
ISSN | ISBN | Citations |
Lecture Notes in Computer Science, vol. 3497, pp. 630-636, 2005 | 3-540-25913-9 | 6 |
PageRank | References | Authors |
1.19 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengqing Li | 1 | 928 | 64.94 |
| Shujun Li | 2 | 1131 | 116.82 |
| Dan Zhang | 3 | 13 | 2.48 |
| Guanrong Chen | 4 | 12378 | 1130.81 |