DocumentCode
2156562
Title
EMPPC-an evolutionary model based privacy preserving technique for cloud digital data storage
Author
Chandramohan, D. ; Vengattaraman, T. ; Rajaguru, D. ; Baskaran, R. ; Dhavachelvan, P.
Author_Institution
Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
fYear
2013
fDate
22-23 Feb. 2013
Firstpage
89
Lastpage
95
Abstract
This paper spank out the enormity of unknown users hand on web service users´ and their data protection level bump up as an issue in cloud users mind. Once hiring a data space in cloud it´s the responsibility of both to accustomed the stored information´s privacy and preserving it in a secret way. It is noticed by the academicians and researchers oodles and masses of privacy breaches relentlessly observable fact dealt globally. It is one of the hottest research topics. This work targets data privacy and its preservation by proposing an evolutionary approach to safeguard the confidential data stored in the cloud. It also focuses on prominent study of users´ privacy need and to preserve data distorted from intermediate digital data thieves.
Keywords
cloud computing; data privacy; evolutionary computation; storage management; EMPPC technique; Web service; cloud digital data storage; cloud user; data privacy; data protection level; evolutionary model; information privacy; intermediate digital data thieves; privacy preserving technique; Authentication; Cloud computing; Computational modeling; Data models; Data privacy; Privacy; Cloud Computing; Digital Data Center; Digital Data Intensity; Evaluationary Computing; Privacy; Privacy Prevention System; Security;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location
Ghaziabad
Print_ISBN
978-1-4673-4527-9
Type
conf
DOI
10.1109/IAdCC.2013.6514200
Filename
6514200
Link To Document