Design and Implementation of Stream Cipher Using Neural Network

Ameen, Siddeq Y.; Othman, Mazin Z.; Hasoon, Safwan; Al-Razaq, Moyed Abud

doi:10.33899/csmj.2009.163781

	Design and Implementation of Stream Cipher Using Neural Network
AL-Rafidain Journal of Computer Sciences and Mathematics
Article 19, Volume 6, Issue 1, 2009, Pages 237-249 PDF (554.22 K)
Document Type: Research Paper
DOI: 10.33899/csmj.2009.163781
Authors
Siddeq Y. Ameen¹; Mazin Z. Othman²; Safwan Hasoon³; Moyed Abud Al-Razaq⁴
¹Dept. of Computer Eng. and I.T. University of Technology/Baghdad
²Technical College of Mosul Commission of Technical Education
³mosul university
⁴Iraqi Committee for Computer and Informatics
Abstract
The centaral problem in stream cipher cryptograph is the the difficulty to generate a long unpredicatable sequence of binary signals from short and random key. Unpredicatable sequence are desirable in cryptography because it is impossible, given a reasonable segment of its signals and computer resources, to find out more about them. Pseudorandom bit generators have been widely used to construct these sequences. The paper presents a PN sequence generator that uses neural network. Computer simulation tests have been carried out to check the randomness of the generated through statistical tests. There tests have shown the successful PN sequence generator passes all the recommended tests. The paper also proposes and validates the data encryption and decryption process using neural network instead of using traditional methods (Exclusive or). This task increases the difficulty in the breaking the cipher.
Keywords
neural network; Cryptography; stream cipher

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