A Secure Video Deduplication Scheme in Cloud Storage Environments Using H.264 Compression

Rashid, Fatema; Miri, Ali; Woungang, Isaac

doi:10.1109/bigdataservice.2015.15

Cited by 11 publications

(18 citation statements)

References 18 publications

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“…In our earlier work [4], assuming that the CSP is semihonest, i.e. he/she is supposed to follow the underlying agreement, but may at the same time try to gain access to the video data and its associated information, a secure video deduplication scheme for cloud storage environments has been proposed using the H.264 compression algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…In order to take full advantage of the proposed abovementioned video deduplication scheme in the cloud [4], the following security tasks have to be ensured by the users. First, the users data should not be tampered by any the CSP or any attacker; and the integrity and privacy of the data should be preserved.…”

Section: Introductionmentioning

confidence: 99%

“…The POR and POW schemes proposed in this paper are meant to reinforce the security of our above-mentioned secure video deduplication scheme for cloud storage environments [4]. The proposed POR scheme is meant to ensure that the data is not only safe from the malicious users, but also from the semi-honest CSP.…”

Section: Introductionmentioning

confidence: 99%

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Proof of Storage for Video Deduplication in the Cloud

Rashid

Miri

Woungang

2015

2015 IEEE International Congress on Big Data

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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.Index Terms-Cloud computing, Big Data,video compression, H.264 compression algorithm, proof of retrieval (POR), proof of ownership (POW), error correcting codes (ECCs), Merkle hash tree. IEEE International Congress on Big Data978-1-4673-7278-7/15 $31.00

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Proof of Storage for Video Deduplication in the Cloud

Rashid

Miri

Woungang

2015

2015 IEEE International Congress on Big Data

Self Cite

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“…Shell et al [9] focused onmodeling chunking and its impact on retrieval, learning, andeffectiveness. Rashid et al [10] proposed secure video deduplication mechanism through video compression in cloud storage environments. Samuel et al [11] presented the design of a system for composing and enforcingcontext-aware disclosure rules for preserving privacy and securityof multimedia big data systems.…”

Section: Related Workmentioning

confidence: 99%

Estimation of Secure Data Deduplication in Big Data

Kumar¹,

Shalini²

2017

IJARCSSE

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Bigdata is linked with the entireties of composite data sets. In bigdata environment, data is in the form of unstructured data and may contain number of duplicate copies of same data. To manage such a complex unstructured data hadoop is to be used. A hadoop is an open source platform specially designed for bigdata environment. Hadoop can handle unstructured data very efficiently as compare to tradition data processing tools. To reduce duplicity of data concept of deduplication is used. In this paper an evaluation of different chunking and deduplication techniques has been presented.

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“…Zheng Yan et al [16] proposed a practical scheme to manage the encrypted big data in cloud with deduplication based on ownership challenge and proxy reencryption and evaluate its performance based on extensive analysis and computer simulations Fatema Rashid [3] proposed a secure video deduplication scheme through video compression in cloud storage environments. Its design consists of embedding a partial convergent encryption along with a unique signature generation scheme into a H.264 video compression scheme 4.…”

Section: Introductionmentioning

confidence: 99%

Secured and Memory Concerned Data Handling Management in Cloud Environment: A Survey

Pradeepa¹,

Sumathi²

2017

IJERT

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:-The explosive growth of multimedia contents, especially videos, is pushing forward the paradigm of cloudbased media hosting today. The wide attacking surface of the public cloud and the growing security awareness from the society are both calling for data encryption before outsourcing to cloud. Data de-duplication has been widely used in backups to save storage space and network bandwidth. Under the circumstance of encrypted videos, how to still preserve all the service benefits of cloud media centre remains to be fully explored. Videos may have to be encrypted before outsourcing for privacy concerns. For practical purposes, the cloud media centre should also provide the adaptively disseminate videos to heterogeneous networks and different devices to ensure the quality of service. This paper discusses various ideas related to security and video de-duplication when user stores data in the cloud.

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A Secure Video Deduplication Scheme in Cloud Storage Environments Using H.264 Compression

Cited by 11 publications

References 18 publications

Proof of Storage for Video Deduplication in the Cloud

Proof of Storage for Video Deduplication in the Cloud

Estimation of Secure Data Deduplication in Big Data

Secured and Memory Concerned Data Handling Management in Cloud Environment: A Survey

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