SDTE: A Secure Blockchain-Based Data Trading Ecosystem
| Autor: | Changze Cui, Deiqing Zou, Dai Chunkai, Kim-Kwang Raymond Choo, Hai Jin, Weiqi Dai |
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| Přispěvatelé: | Dai, Weiqi, Daia, Chunkai, Choo, KR, Cui, Changze, Zou, Deiqing, Jin, Hai |
| Rok vydání: | 2020 |
| Předmět: |
blockchain
021110 strategic defence & security studies Blockchain Computer Networks and Communications Computer science data analysis 0211 other engineering and technologies 02 engineering and technology Computer security model Asset (computer security) Computer security computer.software_genre data trading Data modeling data models Set (abstract data type) Ethereum Intel SGX EVM Key (cryptography) contracts smart contract Safety Risk Reliability and Quality Raw data computer |
| Zdroj: | IEEE Transactions on Information Forensics and Security. 15:725-737 |
| ISSN: | 1556-6021 1556-6013 |
| DOI: | 10.1109/tifs.2019.2928256 |
| Popis: | Data, a key asset in our data-driven economy, has fueled the emergence of a new data trading industry. However, there are a number of limitations in conventional data trading platforms due to the existence of dishonest buyer/data broker. To mitigate these limitations, we posit the importance of a data processing-as-a-service model, which complements conventional data hosting/exchange-as-a-service model. Specifically, in this paper, we introduce a secure data trading ecosystem and present a new blockchain-based data trading ecosystem (hereafter referred to as SDTE). In the ecosystem, both data broker and buyer are not able to obtain access to the seller’s raw data, as they are only getting access to the analysis findings that they require. In other words, we reduce the challenge of securing the dataset to the challenge to secure the data processing. We also build a security model to analyze the data trading market, and describe a new set of trading protocols for the entire data trading market. To demonstrate utility, we implement our proposed secure data trading platform (SDTP) on Ethereum & Intels Software Guard Extensions (SGX) and perform an in-depth analysis. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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