Achieving Secure and Efficient P2P Data Trading based on Blockchain for Internet of Things
Ningyu An, Xiao Rong Liang, Xiaokun Zheng, Shuai Yuan, Xiaodong Wang, Zhitao Guan · 2022
The intelligence of the information era is accomplished through data sharing, which enables us to perform more insightful analysis and make better decisions. However, traditional data trading systems are typically centralized managed with high operating costs and associated risk of single point of failure. Furthermore, it is going to be increasingly more common to see malicious data and behavior during the transactions. This paper proposes a P2P data trading scheme based on blockchain for Internet of Things (IoT). The proposed scheme provides an efficient negotiated pricing model in the data trading process. Chameleon hashing algorithm has been adopted to advance the robustness of the trading scheme by detecting malicious data on the chain and implementing error correction and loss control. Additionally, information entropy is incorporated as data privacy measurement. The security analysis and experimental results show that the proposed data trading scheme is secure and efficient.