C
Chengjun Cai
Researcher at City University of Hong Kong
Publications - 23
Citations - 516
Chengjun Cai is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Encryption & Smart contract. The author has an hindex of 7, co-authored 21 publications receiving 299 citations.
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Proceedings ArticleDOI
Searching an Encrypted Cloud Meets Blockchain: A Decentralized, Reliable and Fair Realization
TL;DR: This work replaces the central server with a carefully-designed smart contract and constructs a decentralized privacy-preserving search scheme where the data owner can receive correct search results with assurance and without worrying about potential wrongdoings of a malicious server.
Proceedings ArticleDOI
Towards trustworthy and private keyword search in encrypted decentralized storage
TL;DR: This paper proposes an encrypted decentralized storage architecture that can support trustworthy and private keyword search functions and integrates an efficient dynamic searchable encryption scheme to the protocols as an instantiation to lower the blockchain overhead.
Journal ArticleDOI
Enabling Reliable Keyword Search in Encrypted Decentralized Storage with Fairness
TL;DR: This work utilizes the smart contract to record the logs of encrypted search (aka evidence) on the blockchain, and devise a fair protocol to handle disputes and issue fair payments, and craft a concrete scheme that preserves encrypted search capability and enforces ecosystem healthiness.
Proceedings ArticleDOI
Leveraging Crowdsensed Data Streams to Discover and Sell Knowledge: A Secure and Efficient Realization
TL;DR: Tackling the challenges of monetization fairness and (on-chain) knowledge confidentiality, the customized knowledge monetization design well respects the interests of knowledge seller and requester, with full support of transparency, streamlined processing, and automatic quality-aware rewards for clients.
Proceedings ArticleDOI
Hardening Distributed and Encrypted Keyword Search via Blockchain
TL;DR: This paper proposes a protocol that is seamlessly incorporated to encrypted search in distributed network to attest and monitor nodes and conducts robustness analysis against several potential attacks, and performs performance and overhead evaluation on the proposed protocol.