Block-CITE: A Blockchain-Based Crowdsourcing Interactive Trust Evaluation Article Swipe
YOU?
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· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/ai6100245
Industrial trademark examination enables users to apply for and manage their trademarks efficiently, promoting industrial and commercial economic development. However, there still exist many challenges, e.g., how to customize a blockchain-based crowdsourcing method for interactive trust evaluation, how to decentralize the functionalities of a centralized entity to nodes in a blockchain network instead of removing the entity directly, how to design a protocol for the method and prove its security, etc. In order to overcome these challenges, in this paper, we propose the Blockchain-based Crowdsourcing Interactive Trust Evaluation (Block-CITE for short) method to improve the efficiency and security of the current industrial trademark management schemes. Specifically, Block-CITE adopts a dual-blockchain structure and a crowdsourcing technique to record operations and store relevant data in a decentralized way. Furthermore, Block-CITE customizes a protocol for blockchain-based crowdsourced industrial trademark examination and algorithms of smart contracts to run the protocol automatically. In addition, Block-CITE analyzes the threat model and proves the security of the protocol. Security analysis shows that Block-CITE is able to defend against the malicious entities and attacks in the blockchain network. Experimental analysis shows that Block-CITE has a higher transaction throughput and lower network latency and storage overhead than the baseline methods.
Related Topics
- Type
- article
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- en
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- https://doi.org/10.3390/ai6100245
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- References
- 40
- OpenAlex ID
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https://openalex.org/W4414705719Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/ai6100245Digital Object Identifier
- Title
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Block-CITE: A Blockchain-Based Crowdsourcing Interactive Trust EvaluationWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-10-01Full publication date if available
- Authors
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Jiaxing Li, Jiang Lin, Hong Liang, Peng Tao, Shaowei Wang, Huanchun WeiList of authors in order
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https://doi.org/10.3390/ai6100245Publisher landing page
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https://www.mdpi.com/2673-2688/6/10/245/pdf?version=1759292916Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2673-2688/6/10/245/pdf?version=1759292916Direct OA link when available
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0Total citation count in OpenAlex
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40Number of works referenced by this work
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| abstract_inverted_index.blockchain | 50, 178 |
| abstract_inverted_index.commercial | 16 |
| abstract_inverted_index.customizes | 128 |
| abstract_inverted_index.efficiency | 95 |
| abstract_inverted_index.industrial | 14, 101, 134 |
| abstract_inverted_index.management | 103 |
| abstract_inverted_index.operations | 117 |
| abstract_inverted_index.throughput | 189 |
| abstract_inverted_index.trademarks | 11 |
| abstract_inverted_index.(Block-CITE | 88 |
| abstract_inverted_index.Interactive | 85 |
| abstract_inverted_index.centralized | 44 |
| abstract_inverted_index.challenges, | 24, 76 |
| abstract_inverted_index.evaluation, | 36 |
| abstract_inverted_index.examination | 2, 136 |
| abstract_inverted_index.interactive | 34 |
| abstract_inverted_index.transaction | 188 |
| abstract_inverted_index.Experimental | 180 |
| abstract_inverted_index.Furthermore, | 126 |
| abstract_inverted_index.crowdsourced | 133 |
| abstract_inverted_index.decentralize | 39 |
| abstract_inverted_index.development. | 18 |
| abstract_inverted_index.efficiently, | 12 |
| abstract_inverted_index.Crowdsourcing | 84 |
| abstract_inverted_index.Specifically, | 105 |
| abstract_inverted_index.crowdsourcing | 31, 113 |
| abstract_inverted_index.decentralized | 124 |
| abstract_inverted_index.automatically. | 146 |
| abstract_inverted_index.dual-blockchain | 109 |
| abstract_inverted_index.functionalities | 41 |
| abstract_inverted_index.Blockchain-based | 83 |
| abstract_inverted_index.blockchain-based | 30, 132 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.5888768 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |