Privacy preserving query processing on outsourced data via secure multiparty computation
Recent advances in technology have given rise to the popularity and success of many data- related services. This new paradigm allows the client to reduce the cost of operations by providing cost-efficient architectures that support the storage and intensive computation of data, and hence increases t...
Saved in:
Main Author: | Do, Hoang Giang |
---|---|
Other Authors: | Ng Wee Keong |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/73577 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Privacy-preserving data mining via secure multiparty computation
by: Han, Shu Guo
Published: (2010) -
An efficient privacy-preserving outsourced computation over public data
by: LIU, Ximeng, et al.
Published: (2017) -
Enabling efficient and privacy-preserving health query over outsourced cloud
by: Wang, Guoming, et al.
Published: (2019) -
Privacy preserving multiparty multilevel DRM architecture
by: Sachan, A., et al.
Published: (2013) -
Efficient privacy-preserving spatial range query over outsourced encrypted data
by: MIAO, Yinbin, et al.
Published: (2023)