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.
[1]
Sangmin Lee,et al.
Upright cluster services
,
2009,
SOSP '09.
[2]
Emin Gün Sirer,et al.
Bitcoin-NG: A Scalable Blockchain Protocol
,
2015,
NSDI.
[3]
Sreeram Kannan,et al.
Deconstructing the Blockchain to Approach Physical Limits
,
2018,
IACR Cryptol. ePrint Arch..
[4]
Leslie Lamport,et al.
The Byzantine Generals Problem
,
1982,
TOPL.
[5]
Miguel Castro,et al.
Practical byzantine fault tolerance and proactive recovery
,
2002,
TOCS.
[6]
Elaine Shi,et al.
The Honey Badger of BFT Protocols
,
2016,
CCS.
[7]
Yunfeng Wu,et al.
BME education program at the EMBS student club of Beijing University of Posts and Telecommunications
,
2003,
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).