Data security enhancement in internet of things using optimised hashing algorithm

The internet of things (IoT) has advanced quickly, providing customers with significant convenience in a variety of areas, including smart homes, smart transportation, and more. It might potentially pose security issues too. Significant security difficulties for the communications between such devices are brought on by the development of smart devices in IoT networks. As the IoT ecosystems develop, blockchain will become a platform for their security. Blockchain is a decentralised, distributed technology that may be able to address the IoT network security issues. Blockchain can address IoT restrictions on privacy and data protection. IoT is not a good fit for blockchain because of its high computing complexity, limited scalability, significant bandwidth overhead, and latency. This study develops an effective blockchain paradigm to address IoT requirements. Initially, the dataset is collected from the IoT sensors and pre-processed using the normalisation method. The pre-processed data is validated using smart contracts and stored in the blockchain network. Proof of work (PoW) consensus protocol is employed for the validation of the blocks. We propose an optimal key search fuzzy hashing algorithm (OKSFHA) for enhancing the security of the data. To optimise the security enhancement Spider monkey optimisation (SMO) is employed. The proposed algorithm is compared with traditional algorithms to prove the efficiency of the suggested system.