DocumentCode :
2816896
Title :
Multi-Granularity Reversible Cellular Automata Applied in Data Encryption
Author :
Xia Xuewen ; Li Yuanxiang ; Xia Zhuliang ; Wang Rong
Author_Institution :
Sch. of Comput. & Inf. Sci., Xiaogan Coll., Xiaogan, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Reversible cellular automata (RCA) can be applied in cryptography for its rule being an affine function. However, there are few number of traditional RCA which caused it is not suit for cryptography. In this paper, an extended RCA is proposed aimed to be applied in cryptography. In the RCA, each cell\´s transformation not only depend on current state but also rely on forepassed state. In order to improve the complexity of CA\´s dynamics, which is a crux in cryptography, traditional CA model is replaced by multi-granularity cellular automata (MGCA). Furthermore, a cryptography algorithm that based on multi-granularity reversible cellular automata (MG-RCA) is proposed. In the algorithm, cells have different granularity and can adjust their granularity dynamically by "splitrecombination" behavior during the process of encryption and decryption. The analysis results show that the cryptosystem can resist brute attack and differential attack, and also has high security. The hardware that shared by encryption and decryption caused the cryptosystem has a strong practicability.
Keywords :
affine transforms; cellular automata; cryptography; CA dynamic complexity improvement; affine function; brute attack resistance; cryptography algorithm; cryptosystem; data encryption; differential attack resistance; multigranularity cellular automata; multigranularity reversible cellular automata; reversible cellular automata; split-recombination behavior; Chaos; Cryptography; Educational institutions; Hardware; Information science; Laboratories; Power system security; Resists; Software engineering; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5363338
Filename :
5363338
Link To Document :
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