Design and Implementation of Stream Cipher Using Neural Network | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 19, Volume 6, Issue 1, April 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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