DocumentCode :
1666915
Title :
Proof of Storage for Video Deduplication in the Cloud
Author :
Rashid, Fatema ; Miri, Ali ; Woungang, Isaac
Author_Institution :
Dept. of Comput. Sci., Ryerson Univ., Toronto, ON, Canada
fYear :
2015
Firstpage :
499
Lastpage :
505
Abstract :
With the advent of cloud computing and its technologies, including data deduplication, more freedom are offered to the users in terms of cloud storage, processing power and efficiency, and data accessibility. The digital data has attained unexceptional growth due to the common use of internet and digital devices giving rise to Big Data problem world wise. These huge volumes of data need some practical platforms for the storage, processing and availability and cloud technology offers all the potentials to fulfil these requirements. Data deduplication is referred to as a strategy offered to cloud storage providers (CSPs) to eliminate the duplicate data and keep only a single unique copy of it for storage space saving purpose to condense Big Data issues. But these benefits also come with data security and privacy issues associated with the cloud technology since the data owner looses the physical control of its data once uploaded in the cloud storage and the CSP gains a complete ownership of the data. In this paper, assuming that the CSP is semi-honest (i.e. Honest but curious and cannot be completely trusted), a proof of retrievability (POR) and a proof of ownership (POW) are proposed for video deduplication in cloud storage environments. The POW protocol is meant to be used by the CSP to authenticate the true owner of the data video before releasing it whereas the POR protocol is meant to allow the user to check that his/her data video stored in the cloud is secured against any malicious user or the semi-honest CSP. These schemes are proposed as complement to our earlier proposed scheme for securing the video deduplication in the cloud storage through the H.264 compression algorithm. Some experimental results are provided, showing the effectiveness of our proposed POR and POW protocols.
Keywords :
cloud computing; data compression; data privacy; information retrieval; security of data; video coding; Big Data; CSP; H.264 compression algorithm; Internet; POR; POW; cloud computing; cloud storage providers; data accessibility; data privacy; data security; digital devices; proof of ownership; proof of retrievability; video deduplication; Big data; Cloud computing; Compression algorithms; Encoding; Encryption; Protocols; Big Data; Cloud computing; H.264 compression algorithm; Merkle hash tree; error correcting codes; proof of ownership; proof of retrieval; video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
Type :
conf
DOI :
10.1109/BigDataCongress.2015.79
Filename :
7207263
Link To Document :
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