Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Computing | en_US |
| dc.contributor.advisor | Xiao, Bin (COMP) | en_US |
| dc.creator | Ouyang, Yunchen | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11390 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Efficient query in blockchain | en_US |
| dcterms.abstract | Blockchain technology has brought a new decentralization scheme to society, but individual users need to pay a lot of cost in obtaining verifiable information on the blockchain. Most of the existing blockchain browsers are not open source, so they can not obtain their source code, so they can not guarantee the credibility of their data. Even if the open-source browsers are open-source, they do not provide proof of data holding. This paper first constructs the blockchain quick query system, on this basis, it also provides the integrity proof for the cloud database of the fast query system. The integrity proof scheme of cloud database is: to generate a specific fingerprint for each certain number of blockchain data blocks. In the process of subsequent operation of the system, the integrity of the cloud database is continuously challenged by random sampling, and the challenge results are recorded for users to check. | en_US |
| dcterms.extent | 56 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2021 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Blockchains (Databases) | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5828.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.89 MB | Adobe PDF | View/Open |
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