论文信息 - Hash function based on chaotic neural networks

Hash function based on chaotic neural networks

Chaos and neural networks have both been used in data encryption because of their cipher-suitable properties, such as parameter-sensitivity, time-varying, random-similarity, etc. Based on chaotic neural networks, a hash function is constructed, which makes use of neural networks' diffusion property and chaos' confusion property. This function encodes the plaintext of arbitrary length into the hash value of fixed length (typically, 128-bit, 256-bit or 512-bit). Its security against statistical attack, birthday attack and meet-in-the-middle attack is analyzed in detail. Its properties make it a suitable choice for data authentication

Shiguo Lian | Zhongxuan Liu | Haila Wang | Zhen Ren

[1] Guanrong Chen,et al. A Chaotic-Neural-Network-Based Encryption Algorithm for JPEG2000 Encoded Images , 2004, ISNN.

[2] Lee-Ming Cheng,et al. Pseudorandom generator based on clipped Hopfield neural network , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[3] Jinsheng Sun,et al. A block cipher based on a suitable use of the chaotic standard map , 2005 .

[4] Gang Hu,et al. PSEUDO-RANDOM NUMBER GENERATOR BASED ON COUPLED MAP LATTICES , 2004 .

[5] Anastasios Bezerianos,et al. A Probabilistic Symmetric Encryption Scheme for Very Fast Secure Communication Based on Chaotic Systems of difference equations , 2001, Int. J. Bifurc. Chaos.

[6] Gert Cauwenberghs,et al. Delta-sigma cellular automata for analog VLSI random vector generation , 1999 .

[7] Vasilios Zorkadis,et al. On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generators , 2003, Neural Networks.

[8] K. Aihara,et al. Cryptosystems with discretized chaotic maps , 2002 .

[9] Wolfgang Kinzel,et al. Public channel cryptography by synchronization of neural networks and chaotic maps. , 2003, Physical review letters.