Approaches in RSA Cryptosystem Using Artificial Neural Network

Cryptography is a technique to make information unreadable for unauthorized users. Today, building a secure channel is one of the most challenging areas for research in communication systems. Many forms of public key cryptography are available, but it requires more complex techniques and needs more computational power. Artificial Neural Network (ANN) and cryptography together can make a great help in field of networks security. Neural networks’ most important property is their generalization capability. This ability ensures they produce reasonable results when they are fed with inputs not previously encountered. This makes them extremely useful for many applications. The other important property of ANNs is parallel implementation. Each layer is paralleled, so they can independently implement certain functionality. A special property of neural networks is confusion, which is caused by the non-linear structure of networks. The output, therefore, depends on the input in non-linear and complicated cases. Thus, it is not easy to define the exact input. As a result of this confusion property, ANNs could be preferable used for cipher design.