Cryptography is the exchange of information among the users without leakage of information to others. Many public key cryptography are available which are based on number theory but it has the drawback of requirement of large computational power, complexity and time consumption during generation of key. To overcome these drawbacks, a neural network can be used to generate secret key. The chaotic neural network is used for encryption and decryption of information.

1. T.Godhavari, ‘Cryptography using neural network’, IEEE Indicon 2005 Conference, Chennai, India, 11-13 Dec. 2005,258-261.
2. Harpreet Kaur and Tripatjot Singh Panag, ‘cryptography using chaotic neural network’ , International Journal of Information Technology and Knowledge Management July-December 2011, Volume 4, No. 2, pp. 417-422.
3. Miles E. Smid and Dennis K. Branstad.‘The Data Encryption Standard: Past and Future’, proceedings of the ieee, vol. 76, no. 5, may 1988,550-559.
4. C. Boyd, ‘Modem Data Encryption’, Electronics & Communication Journal, 1993.
5. Chung J.Kuo and Maw S. Chen., ‘A new signal encryption tech. and its attack study’, ch3031- 2/91/0000-0149 81.00' 1991 ieee,149-153.
6. Ilker Dalkiran, Kenan Danisman. ‘Artificial neural network based chaotic generator for cryptography’, Turk J Elec Eng & Comp Sci, Vol.18, No.2, 2010.,225-240.
7. ‘An Introduction to Neural Network’ by Ben Krose .
8. Wenwu Yu, Jinde Cau, ‘Cryptography based on delayed chaotic neural network’, Physics Letters A 356 (2006) 333–338.

Neural Network chaos Cryptography Encryption Decryption