An enhanced security algorithm using a hybrid data encryption technique for a distributed computing environment (DCE)

Abstract

The Cyberspace has witnessed a surge in different form of attacks with the user now at the losing end. The need to improve the performance of the crypto system has necessitated the urge to develop systems that are almost impenetrable to attackers and improve the level of confidentiality of data transmissions over the network especially Distributed Systems. A lot of research has recently been conducted on several neural net-based encryption techniques using single-layer or multilayer perceptron models.Hybrid combination of conventional crypto system and Neural Crypto system has been discovered to be effective in curbing the incessant network data breaches. In this paper, a framework for the development of a hybrid data encryption system is presented. Some of the known techniques was analysed and the various steps for the development of the hybrid algorithm presented. Finally, this work developed an algorithm for an enhanced crypto system with the combination of IDEA (International Data Encryption Algorithm and Artificial Feed Forward Neural Network (AFFNN) Algorithms.