Q
Qi Xia
Researcher at University of Electronic Science and Technology of China
Publications - 60
Citations - 2340
Qi Xia is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 14, co-authored 51 publications receiving 1425 citations. Previous affiliations of Qi Xia include Joint Institute for Nuclear Research.
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Journal ArticleDOI
MeDShare: Trust-Less Medical Data Sharing Among Cloud Service Providers via Blockchain
TL;DR: The proposed MeDShare system is blockchain-based and provides data provenance, auditing, and control for shared medical data in cloud repositories among big data entities and employs smart contracts and an access control mechanism to effectively track the behavior of the data.
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BBDS: Blockchain-Based Data Sharing for Electronic Medical Records in Cloud Environments
TL;DR: This work proposes a blockchain-based data sharing framework that sufficiently addresses the access control challenges associated with sensitive data stored in the cloud using immutability and built-in autonomy properties of the blockchain.
Journal ArticleDOI
GridMonitoring: Secured Sovereign Blockchain Based Monitoring on Smart Grid
Jianbin Gao,Kwame Omono Asamoah,Emmanuel Boateng Sifah,Abla Smahi,Qi Xia,Hu Xia,Xiaosong Zhang,Guishan Dong +7 more
TL;DR: The sovereign blockchain technology, which provides transparency and provenance, is utilized in this paper to mitigate these above mentioned problems and proves very efficient as the user can monitor how the electricity is used, and it also provides a platform where there is no manipulation from either party.
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A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks
Jianbin Gao,Kwame Opuni-Boachie Obour Agyekum,Emmanuel Boateng Sifah,Kingsley Nketia Acheampong,Qi Xia,Xiaojiang Du,Mohsen Guizani,Hu Xia +7 more
TL;DR: This article analyzes the combination of blockchain and SDN for the effective operation of the VANET systems in 5G and fog computing paradigms and substantially guarantees an efficient network performance, while also ensuring that there is trust among the entities.
Journal ArticleDOI
Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing
TL;DR: In SPOON, the service provider enables to recruit mobile users based on their locations, and select proper sensing reports according to their trust levels without invading user privacy, and a privacy-preserving credit management mechanism is introduced to achieve decentralized trust management and secure credit proof for mobile users.