Spatial Image Data Traceability and Interaction Mechanism Based on Alliance Chain
Wentao Fu, Huien Shi, Jianhua Huang, Yuanfa Ji, Xiyan Sun, Suqing Yan · 2019
In the era of big data, most data storage acts scattered and privacy data has great security risks in the process of interaction. In view of the huge volume of spatial image data and the weak correlation between data, there is not only a risk of data tampering and leaking in the process of interaction, but also a lack of unified management mechanism. Therefore, this paper proposes a traceability and interaction mechanism for spatial image data to achieve traces and traceability in the data manipulation process. It performs preprocessing mechanism by using partition grid code and adding indexing technique to spatial image data to improve data retrieval efficiency. The core algorithm of this mechanism is a fast and practical Byzantine Fault Tolerant algorithm based on alliance chain. FPBFT algorithm is improved on the basis of PBFT algorithm, and optimize the number of broadcasts. Optimize the original two three-stage broadcasts into one three-phase broadcast. A three-phase broadcasting can effectively reduce the delay of consensus and improve the transaction throughput on the premise of guaranteeing the credibility and security of data.