One-way Hash Function Based on Neural Network
| dc.creator | Lian, Shiguo | |
| dc.creator | Sun, Jinsheng | |
| dc.creator | Wang, Zhiquan | |
| dc.date | 2007-07-27 | |
| dc.date.accessioned | 2026-07-07T08:20:41Z | |
| dc.date.available | 2026-07-07T08:20:41Z | |
| dc.description | A hash function is constructed based on a three-layer neural network. The three neuron-layers are used to realize data confusion, diffusion and compression respectively, and the multi-block hash mode is presented to support the plaintext with variable length. Theoretical analysis and experimental results show that this hash function is one-way, with high key sensitivity and plaintext sensitivity, and secure against birthday attacks or meet-in-the-middle attacks. Additionally, the neural network's property makes it practical to realize in a parallel way. These properties make it a suitable choice for data signature or authentication. | |
| dc.description | 7 pages,5 figures,submitted | |
| dc.identifier | https://arxiv.org/abs/0707.4032 | |
| dc.identifier | http://arxiv.org/abs/0707.4032 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/135138 | |
| dc.subject | Cryptography and Security | |
| dc.subject | Neural and Evolutionary Computing | |
| dc.subject | C.1.3; C.2.0; E.3.x; F.1.1 | |
| dc.title | One-way Hash Function Based on Neural Network | |
| dc.type | text |