A proposed ANFIS evaluator for RSA cryptosystem used in cloud networking

The security aspect is considered as the most important challenge in communication and computer networks. Therefore the “security level evaluation” of cryptosystem, is very necessary research topic. This paper introduce the evaluation of RSA cryptosystem using (Adaptive Neural Fuzzy Inference System) ANFIS editor in MATLAB. The ANFIS technique include hybrid between ANN (Artificial Neural Network) and fuzzy logic techniques. The paper used 16 bytes plain text entered to RSA algorithm to get training data which represents the values of used parameters (key length, time complexity, key entropy, cipher text entropy). The code program of the algorithm is executed again on other 16 bytes plain text after simple changing on the used key to get test matrix data. Then entering the data to ANFIS to train this data and get the security evaluation degree results, which represent the security level of RSA Algorithm, then compare it with other RSA evaluation cases.