Symmetric Key and Artificial Neural Network With Mealy Machine: A Neoteric Model of Cryptosystem for Cloud Security
Anirban Bhowmik, Sunil Karforma, Joydeep Dey · 2021
Cloud computing is defined as the distribution of computing which include hardware and software program to the patron through the Internet. In the technology of ICT, cloud computing has encouraged via many industries which includes technology, enterprise, management, logistics, and numerous other enterprises. But some new kind of risks and vulnerabilities exist in cloud environment. Users of cloud services are under constant threat. Hence, security-related risks are the main drawback of cloud computing. The aim of this paper is to enhance the cloud security by designing a secure cryptosystem. At first, we have emphasized on secure key generation algorithm based on coupled artificial neural network (ANN) with Mealy machine and then weight vector-based authentication mechanism. We have used coupled multilayer feedforward neural network and Mealy machine for security issues of cloud computing. Machine learning is done “n” times between two ANNs, and after several steps, we have generated session key for encryption. A novel key wrapping protocol has also introduced using one way function. For encryption and decryption, we have used XOR and CLS (Circular Left Shift) operation and for authentication purpose weight vectors of ANN with hash function is used. Different types of experimental results and analysis prove the efficiency and robustness of our technique in the field of artificial intelligence.