A new symmetric probabilistic encryption scheme based on chaotic attractors of neural networks

CORC > 厦门大学 > 物理技术－已发表论文

	A new symmetric probabilistic encryption scheme based on chaotic attractors of neural networks
	Guo, DH ; Guo DH(郭东辉)
刊名	http://dx.doi.org/10.1023/A:1008337631906
	1999-01
关键词	CAPACITY
英文摘要	A new probabilistic symmetric-key encryption scheme based on chaotic-classified properties of Hopfield neural networks is described. In an overstoraged Hopfield Neural Network (OHNN) the phenomenon of chaotic-attractors is well documented and messages in the attraction domain of an attractor are unpredictably related to each other. By performing permutation operations on the neural synaptic matrix, several interesting chaotic-classified properties of OHNN were found and these were exploited in developing a new cryptography technique. By keeping the permutation operation of the neural synaptic matrix as the secret key, we introduce a new probabilistic encryption scheme for a symmetric-key cryptosystem. Security and encryption efficiency of the new scheme are discussed.
语种	英语
出版者	APPL INTELL
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/91679]
专题	物理技术－已发表论文
推荐引用方式 GB/T 7714	Guo, DH,Guo DH. A new symmetric probabilistic encryption scheme based on chaotic attractors of neural networks[J]. http://dx.doi.org/10.1023/A:1008337631906,1999.
APA	Guo, DH,&郭东辉.(1999).A new symmetric probabilistic encryption scheme based on chaotic attractors of neural networks.http://dx.doi.org/10.1023/A:1008337631906.
MLA	Guo, DH,et al."A new symmetric probabilistic encryption scheme based on chaotic attractors of neural networks".http://dx.doi.org/10.1023/A:1008337631906 (1999).