Paper Info
Title
POSTER: RIA: an Audition-based Method to Protect the Runtime Integrity of MapReduce Applications.
Abstract
Public cloud vendors have been offering varies big data computing services. However, runtime integrity is one of the major concerns that hinders the adoption of those services. In this paper, we focus on MapReduce, a popular big data computing framework, propose the runtime integrity audition (RIA), a solution to verify the runtime integrity of MapReduce applications. Based on the idea of RIA, we developed a prototype system, called MR Auditor, and tested its applicability and the performance with multiple Hadoop applications. Our experimental results showed that MR Auditor is an efficient tool to detect runtime integrity violation and incurs a moderate performance overhead.
Year
DOI
Venue
2016
10.1145/2976749.2989042
ACM Conference on Computer and Communications Security
Keywords
Field
DocType
Computation Integrity, Remote Verification, MapReduce
Audit,Computer security,Computer science,Big data,Database,Operating system,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
2
Name
Order
Citations
PageRank
yongzhi wang1165.79
Yulong Shen223550.62