Artificial Neural Networks, Cryptography , soft computing techniques

December 2018

The goal of this study is to be investigate the use of Artificial Neural Networks (ANNs) in several kinds of digital circuits as well as in the field of Cryptography. Cryptography utilizes mathematical techniques for information security. Information security is presently a compulsory component of commercial applications, military communications and also social media implementation. It maintains the privacy that is the core of information security. Any cryptography needs confidentiality, authentication, integrity and non-repudiation from those authorized to have it. Authentication relates to the identification of two parties entering into communication, while integrity addresses the unauthorized variation of an element inserted into the system. Interacting neural networks have been figured diagnostically. At training step two networks receive a common random input vector and learn their mutual output bits. It could also be attractive for us to study the role of fuzzy based Advanced neural network, Genetic algorithms and Fuzzy neural network. The main goal for the use of fuzzy logic in ANN is to test whether fuzzy rule based approach has merits in dealings with the cyber security threats in the system.

75-79

2455-9997 (Online) - 2229-3531 (Print)

Vol.9 - No.6

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http://dx.doi.org/10.22147/jucit/090602