DocumentCode :
2229818
Title :
Data Outsourcing in Cloud Environments: A Privacy Preserving Approach
Author :
Sayi, T. J V R K M K ; Krishna, R. K N Sai ; Mukkamala, R. ; Baruah, P.K.
Author_Institution :
Sri Sathya Sai Inst. of Higher Learning, Prasanthi Nilayam, India
fYear :
2012
fDate :
16-18 April 2012
Firstpage :
361
Lastpage :
366
Abstract :
With the increasing cost of maintaining IT centers, organizations are looking into outsourcing thier storage and computational needs to a cloud server. However, such outsourcing has also raised the more serious issue of data privacy. In this paper, we summarize our work in privacy-preserving data outsourcing. In particular, we discuss the issue of employing vertical fragmentation to a relation so that the fragment that is assigned to the cloud server contains maximum data without violating privacy. Here, privacy is expressed in terms of a set of confidentiality constraints. We represent the confidentiality constraints as a graph where the nodes are the attributes and links represent paired confidentiality. We then apply the graph coloring problem with two colors for the a cyclic portion of the graph. We use some heuristic to eliminate the cycles, and complete the coloring of all nodes. We are currently extending the work to multiple relations and constraints with multiple attributes in a constraint (i.e., triplet, quadruplet, etc.) instead of just pairs.
Keywords :
cloud computing; data handling; data privacy; graph colouring; IT center maintenance; cloud environment; cloud server; confidentiality constraint; data privacy; graph coloring problem; graph cyclic portion; information technology; node coloring; privacy-preserving data outsourcing; vertical fragmentation; Data privacy; Encryption; Measurement; Organizations; Outsourcing; Servers; cloud environments; data-dependency constraints; outsourcing; privacy-preserving; two-coloring problem; vertical partitioning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2012 Ninth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0798-7
Type :
conf
DOI :
10.1109/ITNG.2012.91
Filename :
6209179
Link To Document :
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