An efficient chaotic MHT-PUF-based IoT device authentication with QPBFT for smart grid infrastructure

Internet of Things (IoT)-based smart grid employs IoT smart devices which gather private data about electricity from consumers and distribute data to service providers via an open network, causing new security issues. In order to overcome these restrictions, an efficient chaotic MHT-PUF based IoT device authentication with QPBFT for smart grid infrastructure has been proposed. The IoT devices from the manufacturers are initially registered to cloud based on the PUF mechanism by generating challenge–response pair, and these responses are stored in blockchain for authentication. Following IoT device authentication, data transmission depends on the chaotic Merkle hash tree cryptography to generate the key and encryption of message. Next, the data will be securely transacted to the blockchain by utilizing the QPBFT consensus algorithm to store the encrypted data. Consensus is a technique used in blockchain to ensure that all nodes concur on the network’s current state and the authenticity of transactions. The model that has been created is assessed using the program called Python. The evaluation performances of the proposed method are 0.0209 ms of encryption time, 0.0851 ms of decryption time, 0.1899 ms of block generation time, 1.41 ms of key generation time, 480.92 kbps of throughput, 0.1013 ms of transaction delay, 6% of packet loss and 94% of PDR. Thus, the proposed model with an efficient chaotic MHT-PUF based IoT device authentication with QPBFT operates well for effectively storing and securing data in smart grid infrastructure.