DocumentCode :
614042
Title :
Secure Picture Data Partitioning for Cloud Computing Services
Author :
Leistikow, R. ; Tavangarian, D.
Author_Institution :
Res. Group Comput. Archit., Univ. of Rostock, Rostock, Germany
fYear :
2013
fDate :
25-28 March 2013
Firstpage :
668
Lastpage :
671
Abstract :
Over the last few years, the usage of Cloud Computing services has grown tremendously. Especially the vast number of services for managing, saving and organizing digital pictures like Drop box, Picas a, or Flickr achieved a widespread popularity. However, there are some serious issues concerning data security and privacy. Firstly, the user has to trust the data management processes of the Cloud provider because of the loss of control over submitted data. Secondly, the Cloud provider must provide appropriate methods to ensure data security and privacy even in cases of security breaches or hardware failures. Moreover, the user-transparency of these methods is essential to strengthen trust between user and provider. In order to improve trust and data security with regard to picture data in Cloud Computing, we present a novel secure partitioning method based on data separation by using facial recognition and stripping algorithms.
Keywords :
cloud computing; data privacy; face recognition; multimedia computing; security of data; trusted computing; Cloud provider; Drop box; Flickr; Picasa; cloud computing service; data management process; data privacy; data security; data separation; digital picture management; digital picture organization; digital picture saving; facial recognition; hardware failure; secure picture data partitioning; security breach; stripping algorithm; user trust; user-transparency; Cloud computing; Cryptography; Data privacy; Digital images; Face; Privacy; Cloud Computing; Image Processing; Privacy; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-6239-9
Electronic_ISBN :
978-0-7695-4952-1
Type :
conf
DOI :
10.1109/WAINA.2013.157
Filename :
6550473
Link To Document :
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