| Title | Trust Degree Calculation Method Based on Trust Blockchain Node |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Sun, YunZhe, Zhao, QiXi, Zhang, PeiYun |
| Conference Name | 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) |
| Date Published | nov |
| Keywords | blockchain network environment security, blockchain network node diversity, blockchain network node mobility, computer network security, cryptography, decentralized P2P network, delays, human factors, Metrics, node behavior information, node transaction, node working state, P2P network trust value calculation, peer to peer security, Peer-to-peer computing, pubcrawl, Resiliency, Scalability, transaction delay, transaction processing, Trust blockchain, trust blockchain node, Trust calculation, trust degree calculation method, trust value evaluation indicators, Trusted Computing, trusted node, trusted nodes, trustworthiness calculation method |
| Abstract | Due to the diversity and mobility of blockchain network nodes and the decentralized nature of blockchain networks, traditional trust value evaluation indicators cannot be directly used. In order to obtain trusted nodes, a trustworthiness calculation method based on trust blockchain nodes is proposed. Different from the traditional P2P network trust value calculation, the trust blockchain not only acquires the working state of the node, but also collects the special behavior information of the node, and calculates the joining time by synthesizing the trust value generated by the node transaction and the trust value generated by the node behavior. After the attenuation factor is comprehensively evaluated, the trusted nodes are selected to effectively ensure the security of the blockchain network environment, while reducing the average transaction delay and increasing the block rate. |
| DOI | 10.1109/SOLI48380.2019.8955097 |
| Citation Key | sun_trust_2019 |
Trust Degree Calculation Method Based on Trust Blockchain Node