Abstract
Life Cycle Tracking (LCT) involves continuous monitoring and analysis of various activities associated with a vehicle. The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple stakeholders. Frauds and swindling activities can be prevented if the history of the vehicles is made available to the interested parties. Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions performed. Machine learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT model. In the proposed work, Harmonic Optimized Gradient Descent and Łukasiewicz Fuzzy (HOGD-LF) Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three stages. First, the Progressive Harmonic Optimized User Registration and Authentication model is designed for computationally efficient registration and authentication. Next, for the authentic user, the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU utilization. Finally, Łukasiewicz Fuzzy Smart Contract Verification is performed with encrypted data to ensure accurate and precise fraudulent activity deduction. The experimental analysis shows that the proposed method achieves significant performance in terms of life cycle’s prediction time, overhead, and accuracy for a different number of users.
Highlights
Blockchain can be described as a collection of ledgers organized into blocks that are linked with each other and are made strongly resistant to alteration by protecting it using cryptography
Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions performed
We present a comparative analysis and discussion of the vehicle life cycle tracking method proposed in this work to explore the efficiency of the proposed method in terms of tracking time, tracking overhead, and tracking accuracy based on the auto insurance claims dataset from Kaggle
Summary
Blockchain can be described as a collection of ledgers organized into blocks that are linked with each other and are made strongly resistant to alteration by protecting it using cryptography. Each block contains details about the transaction that takes place between the users in a business network and are linked together to form a chain of records, which is stored by every user. All transactions are cryptographically signed by the participants and verified. This public distributed ledger prevents any fraudulent action as each user in the network has a copy of the ledger and can detect any discrepancy . The blocks are validated and added into the blockchain by the miners by solving a complex mathematical problem referred to as consensus algorithms. The whole structure is made self-governing by the use of smart contracts and
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