An artificial intelligence based authentication mechanism for wireless sensor networks using blockchain

Blockchain Networks (BNs) are widely used in a variety of applications around the globe. BN exchanges data and information using various inter-network and intra-network protocols. The sharing of this information across multiple platforms poses a significant security threat to the data sensed by the devices. This paper uses a combination of blockchain technology with AI algorithms to propose a novel security framework for BNs that acts as a security check gateway for any third party trying to access BN data. This paper proposed a hybrid security framework using blockchain. In order to provide a clear and efficient authentication scheme, global blockchain and local blockchain are separately used for BN authentication. The proposed work uses an artificial intelligence (AI) approach - Student Psychology Based Optimization (SPBO) is implemented in Matlab and Python. This approach is compared with some famous security algorithms of BNs, and it performs better than all the existing security algorithms used for BN.