DeepAI AI Chat
Log In Sign Up

S4: A New Secure Scheme for Enforcing Privacy in Cloud Data Warehouses

by   Somayeh Moghadam, et al.
Universite Lumiere Lyon 2
University Claude Bernard Lyon 1

Outsourcing data into the cloud becomes popular thanks to the pay-as-you-go paradigm. However, such practice raises privacy concerns. The conventional way to achieve data privacy is to encrypt sensitive data before outsourcing. When data are encrypted, a trade-off must be achieved between security and efficient query processing. Existing solutions that adopt multiple encryption schemes induce a heavy overhead in terms of data storage and query performance, and are not suited for cloud data warehouses. In this paper, we propose an efficient additive encryption scheme (S4) based on Shamir's secret sharing for securing data warehouses in the cloud. S4 addresses the shortcomings of existing approaches by reducing overhead while still enforcing good data privacy. Experimental results show the efficiency of S4 in terms of computation and storage overhead with respect to existing solutions.


page 1

page 2

page 3

page 4


Secure Computation over Encrypted Databases

Sensitive applications running on the cloud often require data to be sto...

Secret Sharing for Cloud Data Security

Cloud computing helps reduce costs, increase business agility and deploy...

Symmetries and isomorphisms for privacy in control over the cloud

Cloud computing platforms are being increasingly used for closing feedba...

CREAMS: Copyrighted Cloud Media Sharing

The advent of the big data era drives the media data owner to seek help ...

SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud

It is now cost-effective to outsource large dataset and perform query ov...

Exploiting Data Sensitivity on Partitioned Data

Several researchers have proposed solutions for secure data outsourcing ...

2FE: Two-Factor Encryption for Cloud Storage

Encrypted cloud storage services are steadily increasing in popularity, ...