Visible to the public Biblio

Filters: Keyword is Efficient query  [Clear All Filters]
2023-04-14
Lai, Chengzhe, Wang, Yinzhen.  2022.  Achieving Efficient and Secure Query in Blockchain-based Traceability Systems. 2022 19th Annual International Conference on Privacy, Security & Trust (PST). :1–5.
With the rapid development of blockchain technology, it provides a new technical solution for secure storage of data and trusted computing. However, in the actual application of data traceability, blockchain technology has an obvious disadvantage: the large amount of data stored in the blockchain system will lead to a long response time for users to query data. Higher query delay severely restricts the development of block chain technology in the traceability system. In order to solve this problem, we propose an efficient, secure and low storage overhead blockchain query scheme. Specifically, we design an index structure independent of Merkle tree to support efficient intra-block query, and create new fields in the block header to optimize inter-block query. Compared with several existing schemes, our scheme ensures the security of data. Finally, we simulate and evaluate our proposed scheme. The results show that the proposed scheme has better execution efficiency while reducing additional overhead.