Decentralized Consensus Blockchain and IPFS-Based Data Aggregation for Efficient Data Storage Scheme

By the development and advancement of blockchain technique, Internet Things (IoT) proliferation driven devices application blockchain-enabled IoT alter view operating infrastructure smart networks. The is responsible for supporting decentralized systems offers secured means authentication, management, access to system thereby deploying contracts offered by Ethereum. increasing demand expansion generate huge volume sensitive data. growing blockchain-IoT generating large Furthermore, distributed denial-of-service (DDoS) attacks are regarded as most promising threats in blockchain-based systems. Therefore, there a need detect classify attack type data should be stored server more securely with use aggregation method. For this purpose, presented technique aims at introducing consensus Interplanetary file (IPFS) based effective classification storage. detected using meta-hyperparameter random forest (MHP-RF) classifier. Once detected, transaction information contract-based system. handling stage classifies normal or abnormal one which then followed execution business logic contract appending network cloud. employed PoW-enabled scheme integrated Elgamal-based aggregation. security improved intrusion prevented greatly. performance analysis analyzed terms accuracy, precision, recall, F-score, Encryption time, decryption space complexity. attained outcomes compared traditional approaches prove effectiveness proposed strategy. said time consumption, classifier performance, overcoming complexity issues.