Journal ArticleDOI
Cooperative private searching in clouds
TLDR
A cooperative private searching (COPS) protocol that provides the same privacy protections as prior protocols, but with much lower overhead, and allows multiple users to combine their queries to reduce the querying cost while protecting their privacy.About:
This article is published in Journal of Parallel and Distributed Computing.The article was published on 2012-08-01. It has received 35 citations till now. The article focuses on the topics: Cloud computing & Data as a service.read more
Citations
More filters
Journal ArticleDOI
Enhanced Location Privacy Preserving Scheme in Location-Based Services
Tao Peng,Qin Liu,Guojun Wang +2 more
TL;DR: The main merits of the proposed enhanced-location-privacy-preserving scheme include the following: 1) no fully trusted entities are required, and 2) each user can obtain accurate points of interest while preserving location privacy.
Journal ArticleDOI
Effective Query Grouping Strategy in Clouds
TL;DR: This paper proposes a heuristic approach to classify n queries into k groups, in order to minimize the difference between each group and the number of distinct keywords in all groups, which is NP-hard.
Proceedings ArticleDOI
Efficient information retrieval for ranked queries in cost-effective cloud environments
TL;DR: This paper presents a scheme, termed efficient information retrieval for ranked query (EIRQ), to further reduce querying costs incurred in the cloud and addresses two fundamental issues in a cloud environment: privacy and efficiency.
Journal ArticleDOI
Towards Differential Query Services in Cost-Efficient Clouds
TL;DR: This paper presents three efficient information retrieval for ranked query (EIRQ) schemes to reduce querying overhead incurred on the cloud.
Journal ArticleDOI
Privacy-Preserving Search Over Encrypted Personal Health Record In Multi-Source Cloud
TL;DR: This paper considers a multi-source CB-PHR system in which multiple data providers are authorized by individual data owners to upload their personal health data to an untrusted public cloud and proposes a novel Multi-Source Order-Preserving Symmetric Encryption (MOPSE) scheme, which enables efficient and privacy-preserving query processing.
References
More filters
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Book
The Art of Computer Programming
TL;DR: The arrangement of this invention provides a strong vibration free hold-down mechanism while avoiding a large pressure drop to the flow of coolant fluid.
Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
Journal ArticleDOI
A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Journal ArticleDOI
Space/time trade-offs in hash coding with allowable errors
TL;DR: Analysis of the paradigm problem demonstrates that allowing a small number of test messages to be falsely identified as members of the given set will permit a much smaller hash area to be used without increasing reject time.