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Ximeng Liu
Researcher at Fuzhou University
Publications - 305
Citations - 7408
Ximeng Liu is an academic researcher from Fuzhou University. The author has contributed to research in topics: Encryption & Cloud computing. The author has an hindex of 33, co-authored 249 publications receiving 3980 citations. Previous affiliations of Ximeng Liu include Nanyang Technological University & Xidian University.
Papers
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Toward efficient and privacy-preserving computing in big data era
TL;DR: The general architecture of big data analytics is formalized, the corresponding privacy requirements are identified, and an efficient and privacy-preserving cosine similarity computing protocol is introduced as an example in response to data mining's efficiency and privacy requirements in the big data era.
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Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system
TL;DR: A secure system to devise a novel two-fold access control mechanism, which is self-adaptive for both normal and emergency situations, is formally proved secure, and extensive comparison and simulations demonstrate its efficiency.
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Privacy-Preserving Patient-Centric Clinical Decision Support System on Naïve Bayesian Classification
TL;DR: A new privacy- Preserving patient-centric clinical decision support system, which helps clinician complementary to diagnose the risk of patients' disease in a privacy-preserving way and can efficiently calculate patient's disease risk with high accuracy in a Privacy-Preserving way is proposed.
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An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys
TL;DR: It is proved that the proposed EPOM achieves the goal of secure integer number processing without resulting in privacy leakage of data to unauthorized parties.
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Blockchain based efficient and robust fair payment for outsourcing services in cloud computing
TL;DR: BCPay, a blockchain based fair payment framework for outsourcing services in cloud computing, is introduced and the security analysis indicates that BCPay achieves Soundness and Robust Fairness, where the fairness is resilient to eavesdropping and malleability attacks.