A Lightweight Scalable and Secure Blockchain Based IoT Using Fuzzy Logic

The Blockchain mechanism usually transacts the data between the blocks but there exists a restriction of total transaction within a local ledger. This often may lead to compromising the peer transaction validation both at local or global level. The integration of Internet of Things (IoT) data on the blockchain transaction mechanism often fails due to limited resources in the blockchain to carry the rapid collection of IoT data. Further, the processing and validation of data and storing it in the form of logs in ledger may require additional computational time. In this paper, we address such limitations while integrating the IoT data collection modules with blockchain technology using fuzzy logic model. The study uses fuzzy logic engine to analyze the trust level of data packets entering the blockchain network. The encrypted while entering the blockchain and decryption at the receiver end is carried out in addition with the blockchain encryption and decryption. A closed-loop model is developed to address the security related concerns in block chain and data management within supply chains. The implementation of blockchain is carried out in Pyethereum tester tool under Ethereum platform. The result shows an improved security on blockchain than existing benchmark methods in terms block reliability and data integrity.