ALICIA: Applied Intelligence in blockchain based VANET: Accident Validation as a Case Study

作者：

Highlights：

• An integrated blockchain-based system on the novel validation technique.

• A node table that records the performance of nodes and uses the node table to train the Reputation model.

• An AI-based reputation model to detect and classify anomalous transactional data from non-anomalous transactional data.

• A real-time Miner node selection based on the reputation model in Hyperledger Fabric.

摘要

•An integrated blockchain-based system on the novel validation technique.•A node table that records the performance of nodes and uses the node table to train the Reputation model.•An AI-based reputation model to detect and classify anomalous transactional data from non-anomalous transactional data.•A real-time Miner node selection based on the reputation model in Hyperledger Fabric.

论文关键词：Blockchain,Hyperledger Fabric,Artificial neural networks,Miner node selection,VANET systems

论文评审过程：Received 12 June 2020, Revised 31 December 2020, Accepted 8 January 2021, Available online 2 February 2021, Version of Record 2 February 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102508