Enabling efficient and privacy-preserving health query over outsourced cloud

Enabling efficient and privacy-preserving health query over outsourced cloud

With the pervasiveness of Body Sensor Network (BSN) and cloud computing, online health query service has attracted considerable attention and become a promising approach to improve our quality of healthcare service. However, it still faces many challenges on privacy of users’ sensitive personal info...

Saved in:

書目詳細資料
Main Authors:	Wang, Guoming, Lu, Rongxing, Guan, Yong Liang
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2019
主題:	Outsourced Cloud Health Query DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/103343 http://hdl.handle.net/10220/47292
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Lightweight privacy-preserving spatial keyword query over encrypted cloud data
由: YANG, Yutao, et al.
出版: (2022)

Privacy-preserving outsourced calculation toolkit in the cloud
由: LIU, Ximeng, et al.
出版: (2020)

Privacy-preserving outsourced calculation on floating point numbers
由: LIU, Ximeng, et al.
出版: (2016)

PGAS: Privacy-preserving graph encryption for accurate constrained shortest distance queries
由: ZHANG, Can, et al.
出版: (2020)

Efficient and privacy-preserving online face recognition over encrypted outsourced data
由: YANG, Xiaopeng, et al.
出版: (2018)

Efficient privacy-preserving spatial data query in cloud computing
由: MIAO, Yinbin, et al.
出版: (2024)

An efficient and privacy-preserving biometric identification scheme in cloud computing
由: ZHU, Liehuang, et al.
出版: (2018)

An efficient privacy-preserving outsourced computation over public data
由: LIU, Ximeng, et al.
出版: (2017)

Privacy-preserving mining of association rule on outsourced cloud data from multiple parties
由: LIU, Lin, et al.
出版: (2018)

Efficient privacy-preserving spatial range query over outsourced encrypted data
由: MIAO, Yinbin, et al.
出版: (2023)

Query assurance verification for outsourced multi-dimensional databases
由: Cheng, W., et al.
出版: (2013)

Efficient and privacy-preserving outsourced calculation of rational numbers
由: LIU, Ximeng, et al.
出版: (2018)

Privacy-preserving ranked spatial keyword query in mobile cloud-assisted fog computing
由: TONG, Qiuyun, et al.
出版: (2023)

Lightning-fast and privacy-preserving outsourced computation in the cloud
由: LIU, Ximeng, et al.
出版: (2020)

Achieve Location Privacy-Preserving Range Query in Vehicular Sensing
由: Kong, Qinglei, et al.
出版: (2018)

Efficient and privacy-preserving encode-based range query over encrypted cloud data
由: LIANG, Yanrong, et al.
出版: (2024)

Privacy-preserving outsourced clinical decision support system in the cloud
由: LIU, Ximeng, et al.
出版: (2021)

Privacy-preserving arbitrary geometric range query in mobile Internet of Vehicles
由: MIAO, Yinbin, et al.
出版: (2023)

Complex Queries in a Shared Multi User Relational Cloud Database
由: Sidorov, Vasily, et al.
出版: (2017)

An efficient privacy-preserving outsourced calculation toolkit with multiple keys
由: LIU, Ximeng, et al.
出版: (2016)

Towards efficient proofs of storage and verifiable outsourced database in cloud computing
由: XU JIA
出版: (2012)

Indexing multi-dimensional data in a cloud system
由: Wang, J., et al.
出版: (2013)

Making the decision to contract for cloud services: Managing the risk of an extreme form of IT outsourcingi
由: Clemons, E.K., et al.
出版: (2013)

Outsourcing service fair payment based on blockchain and its applications in cloud computing
由: ZHANG, Yinghui, et al.
出版: (2021)

DESIGN METHODOLOGIES FOR TRUSTED AND EFFICIENT OUTSOURCING OF PRIVACY-PRESERVING AI
由: MEFTAH SOUHAIL
出版: (2023)

Identity-based data outsourcing with comprehensive auditing in clouds
由: WANG, Yujue, et al.
出版: (2017)

Blockchain based efficient and robust fair payment for outsourcing services in cloud computing
由: ZHANG, Yinghui, et al.
出版: (2018)

Privacy-preserving anomaly detection in cloud manufacturing via federated transformer
由: Ma, Shiyao, et al.
出版: (2022)

CAMPS: Efficient and privacy-preserving medical primary diagnosis over outsourced cloud
由: HUA, Jianfeng, et al.
出版: (2020)

A privacy-preserving outsourced functional computation framework across large-scale multiple encrypted domains
由: LIU, Ximeng, et al.
出版: (2016)

Privacy-preserving fine-grained data sharing with dynamic service for the cloud-edge IoT
由: SUN, Jianfei, et al.
出版: (2024)

TECHNIQUES FOR EFFICIENT QUERY REVERSE ENGINEERING
由: LI MEIYING
出版: (2022)

Privacy-Preserving Querying in Sensor Networks
由: CRISTOFARO, Emiliano, et al.
出版: (2009)

Partially Materialized Digest Scheme: An Efficient Verification Method for Outsourced Databases
由: MOURATIDIS, Kyriakos, et al.
出版: (2009)

Achieve privacy-preserving priority classification on patient health data in remote eHealthcare system
由: Wang, Guoming, et al.
出版: (2019)

Search me in the dark: Privacy-preserving Boolean range query over encrypted spatial data
由: WANG, Xiangyu, et al.
出版: (2020)

PPDF: A Privacy-Preserving Cloud-Based Data Distribution System with filtering
由: ZHANG, Yudi, et al.
出版: (2023)

Beyond result verification: Efficient privacy-preserving spatial keyword query with suppressed leakage
由: TONG, Qiuyun, et al.
出版: (2024)

Fast and secure location-based services in smart cities on outsourced data
由: WANG, Xiangyu, et al.
出版: (2021)

Privacy-preserving Platforms for Computation on Hybrid Clouds
由: ZHANG CHUNWANG
出版: (2014)