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Security and Privacy Aspects in MapReduce on Clouds: A Survey [article]

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Shantanu Sharma
2016 arXiv   pre-print
Security and privacy of data and MapReduce computations are essential concerns when a MapReduce computation is executed in public or hybrid clouds.  ...  MapReduce is a programming system for distributed processing large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid cloud.  ...  Patricia Florissi for this support and very helpful comments.  ... 
arXiv:1605.00677v1 fatcat:32i6kmqxinetbe63i7p7fl7glu

A Lightweight MapReduce Framework for Secure Processing with SGX

Rafael Pires, Daniel Gavril, Pascal Felber, Emanuel Onica, Marcelo Pasin
2017 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)  
MapReduce is a programming model used extensively for parallel data processing in distributed environments.  ...  A wide range of algorithms were implemented using MapReduce, from simple tasks like sorting and searching up to complex clustering and machine learning operations.  ...  Furthermore, the technique is limited to four query types: count, search, equijoin, and range. SecureMR [8] focuses on MapReduce integrity.  ... 
doi:10.1109/ccgrid.2017.129 dblp:conf/ccgrid/PiresGFOP17 fatcat:5swuupgiozczrcbkeigcwjhokq

Security Issues and Privacy in Cloud Computing

K Durkesh, Ms.J.R Thresphine
2014 IOSR Journal of Computer Engineering  
However, when outsourcing the data and business application to a third party causes the security and privacy issues to become a critical concern.  ...  We have identified five most representative security and privacy attributes (i.e., confidentiality, integrity, availability, accountability, and privacy-preservability).  ...  Naehrig et al. has proposed somewhat homomorphic encryption [98] , which only supports a number of homomorphic operations, which may be much faster and more compact than FHE.  ... 
doi:10.9790/0661-16453956 fatcat:ql3xgf6uxrcqjevdfvafmsg4ui

Security and Privacy in Cloud Computing

Zhifeng Xiao, Yang Xiao
2013 IEEE Communications Surveys and Tutorials  
However, when outsourcing the data and business application to a third party causes the security and privacy issues to become a critical concern.  ...  We have identified five most representative security and privacy attributes (i.e., confidentiality, integrity, availability, accountability, and privacy-preservability).  ...  National Science Foundation (NSF), under grants: CNS-0716211, CCF-0829827, CNS-0737325, and CNS-1059265.  ... 
doi:10.1109/surv.2012.060912.00182 fatcat:nprdqkomn5fvrlxnwvmlvvtati