Ensure authentication and confidentiality in blockchain-based IoT with cryptanalysis and machine learning in 6G-enabled heterogeneous IoT-Blockchain

Abstract

Presently, the Internet of Things (IoT) is considered the major network, which includes multiple intelligent devices for interacting and transferring data throughout the Internet. The IoT is applicable in commercial, military, and industrial applications. With the popularity of IoT devices, security is the main issue for data privacy. Hence, authentication and secure data transmission are crucial parameters for the secure communication of IoT devices. Moreover, blockchain is employed for providing efficient data sharing and secure authentication in IoT. This research proposes authentication based on data protection (DPro_Auth) for blockchain-based IoT. Entities like users, IoT devices, blockchain, and a smart contract are utilized to attain authentication and confidentiality. The steps like initialization, registration, key generation, authentication, data verification, and access control are carried out. The initialization is based on the physical unclonable function-based chaotic pseudorandom number generators (PUF-CPRNG). Moreover, the pseudorandom number generator-based pseudo-randomly enhanced logistic map (PRNG–PELM) is employed in the key generation process. In addition, the memory, and computational time are used to validate the DPro_Auth, with the finest outcome of 5.277 MB, and 0.256 s are obtained.