Paper Info
Title
Integrity Protection for Big Data Processing with Dynamic Redundancy Computation
Abstract
Big data is a hot topic and has found various applications in different areas such as scientific research, financial analysis, and market studies. The development of cloud computing technology provides an adequate platform for big data applications. No matter public or private, the outsourcing and sharing characteristics of the computation model make security a big concern for big data processing in the cloud. Most existing works focus on protection of data privacy but integrity protection of the processing procedure receives little attention, which may lead the big data application user to wrong conclusions and cause serious consequences. To address this challenge, we design an integrity protection solution for big data processing in cloud environments using reputation based redundancy computation. The implementation and experiment results show that the solution only adds limited cost to achieve integrity protection and is practical for real world applications.
Year
DOI
Venue
2015
10.1109/ICAC.2015.34
International Conference on Autonomic Computing
Keywords
Field
DocType
MapReduce,cloud computing,integrity protection
Computer science,Computer security,Outsourcing,Financial analysis,Redundancy (engineering),Data integrity,Information privacy,Big data,Database,Cloud computing,Reputation,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
8
Name
Order
Citations
PageRank
Zhimin Gao110517.68
Nicholas Desalvo200.68
Pham Dang Khoa311.02
Seunghun Kim4316.05
Lei Xu53617.39
Won Woo Ro619727.94
Rakesh M. Verma739578.53
Weidong Shi8216.55