Implementation of Sequential Machine for Encryption of Textual Information

Abstract

Cryptography is a secured transfer of information between users to avoid leakage of information. Research of techniques for cryptography using public key is done to have a need of great computational power besides being highly complex and time consuming for obtaining the key. Neural networks are found to have an edge over these shortcomings for obtaining the keys. In this paper, n – state sequential machine is used to examine Artificial Neural Network as a toll for cryptography. The results thereby obtained demonstrate the use of artificial neural network for cryptography.