TY  - EJOU
AU  - Mohammed, Mohanad A. 
AU  - Wahab, Hala B. Abdul 

TI  - Enhancing IoT Data Security with Lightweight Blockchain and Okamoto Uchiyama Homomorphic Encryption
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2024
VL  - 138
IS  - 2
SN  - 1526-1506

AB  - Blockchain technology has garnered significant attention from global organizations and researchers due to its potential as a solution for centralized system challenges. Concurrently, the Internet of Things (IoT) has revolutionized the Fourth Industrial Revolution by enabling interconnected devices to offer innovative services, ultimately enhancing human lives. This paper presents a new approach utilizing lightweight blockchain technology, effectively reducing the computational burden typically associated with conventional blockchain systems. By integrating this lightweight blockchain with IoT systems, substantial reductions in implementation time and computational complexity can be achieved. Moreover, the paper proposes the utilization of the Okamoto Uchiyama encryption algorithm, renowned for its homomorphic characteristics, to reinforce the privacy and security of IoT-generated data. The integration of homomorphic encryption and blockchain technology establishes a secure and decentralized platform for storing and analyzing sensitive data of the supply chain data. This platform facilitates the development of some business models and empowers decentralized applications to perform computations on encrypted data while maintaining data privacy. The results validate the robust security of the proposed system, comparable to standard blockchain implementations, leveraging the distinctive homomorphic attributes of the Okamoto Uchiyama algorithm and the lightweight blockchain paradigm.
KW  - Blockchain; IoT; integration of IoT and blockchain; consensus algorithm; Okamoto Uchiyama; homomorphic encryption; lightweight blockchain

DO  - 10.32604/cmes.2023.030528