CHNN nonlinear combination generator
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 257-260 |
| Journal / Publication | Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems |
| Volume | 2 |
| Publication status | Published - 1998 |
Conference
| Title | 1998 5th IEEE International Conference on Electronics, Circuits and Systems (ICECS'98) |
|---|---|
| Location | Instituto Superior Técnico |
| Place | Portugal |
| City | Lisboa |
| Period | 7 - 10 September 1998 |
Link(s)
Abstract
We resent a new construction of a combination generator based on a clipped version of Hopfield neural network and maximum-length linear feedback shift registers (LFSRs). The clipped Hopfield neural network (CHNN) acts as a nonlinear combining function on the outputs of the LFSRs, which destroys the linearity and algebraic structure of the LFSRs. The resulting sequences have long period, large linear complexity and key space. The construction is suitable for practical implementation of efficient stream cipher cryptosystems.
Citation Format(s)
CHNN nonlinear combination generator. / Chan, Chi Kwong; Cheng, L. M.
In: Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, Vol. 2, 1998, p. 257-260.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
