Enhanced Encryption schemes of video for real time applications

Varalakshmi, L. M.; Sudha, Gnanou Florence; Vijayalakshmi, V.

doi:10.1109/icsccn.2011.6024585

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…This encryption method involves the selection of some sensitive areas by the users, and thus is not suitable for cross-user deduplication in the cloud. In [76], the video is converted into Discrete Cosine Transformation (DCT) coefficients, then these coefficients are encrypted using a secret sharing method. The use of secret sharing ensures that there is no combination of the members of a group that can discover the secret.…”

Section: Svds-h264 Schemementioning

confidence: 99%

Secure Data Deduplication in Cloud Environments

Rashid¹

2021

Preprint

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With the tremendous growth of available digital data, the use of Cloud Service Providers (CSPs) are gaining more popularity, since these types of services promise to provide convenient and efficient storage services to end-users by taking advantage of a new set of benefits and savings offered by cloud technologies in terms of computational, storage, bandwidth, and transmission costs. In order to achieve savings in storage, CSPs often employ data dedplication techniques to eliminate duplicated data. However, benefits gained through these techniques have to balanced against users' privacy concerns, as these techniques typically require full access to data. In this thesis, we propose solutions for different data types (text, image and video) for secure data deduplication in cloud environments. Our schemes allow users to upload their data in a secure and efficient manner such that neither a semi-honest CSP nor a malicious user can access or compromise the security of the data. We use different image and video processing techniques, such as data compression, in order to further improve the efficiency of our proposed schemes. The security of the deduplication schemes is provided by applying suitable encryption schemes and error correcting codes. Moreover, we propose proof of storage protocols including Proof of Retrievability (POR) and Proof of Ownership (POW) so that users of cloud storage services are able to ensure that their data has been saved in the cloud without tampering or manipulation. Experimental results are provided to validate the effectiveness of the proposed schemes.

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Section: Svds-h264 Schemementioning

confidence: 99%

Secure Data Deduplication in Cloud Environments

Rashid¹

2021

Preprint

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“…In this publication (7), the authors of varalaxmi.l developed a new encryption method for the transmission of real-time videotapes. The primary component of the plan is for videos to be transformed into DCT measure and then translated through the use of secret sharing.…”

Section: Literature Reviewmentioning

confidence: 99%

Enabling Secured Data Transfer with Encryption Based On Binary Conversion

Chauhan¹

2021

MSEA

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Modern technology supports network environment success by incorporating numerous networking infrastructure platforms and third-party apps. Data outsourcing, whereby data owners store their own data in a public hub, is a promising advantage. Although obtaining similar data from the storage service is likewise thought to be a difficult task by large service providers, security of that data is a major worry.In this essay, A brand-new procedure termed binary data conversion is suggested to enhance data outsourcing security and boost the effectiveness of retrieving related multimedia documents. To increase search performance in storage services, an encrypted index for video data is developed using the most modern AES algorithm. To enable quick and precise search queries.

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“…This encryption method involves the selection of some sensitive areas by the users, and thus is not suitable for cross-user deduplication in the cloud. In [25], the video is converted into Discrete Cosine Transformation (DCT) coefficients, then these coefficients are encrypted using a secret sharing method. The use of secret sharing ensures that there is no combination of the members of a group that can discover the secret.…”

Section: Related Workmentioning

confidence: 99%

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

Rashid

Miri

Woungang

2015

2015 IEEE First International Conference on Big Data Computing Service and Applications

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Due to the rapidly increasing amounts of digital data produced worldwide, multi-user cloud storage systems are becoming very popular and Internet users are approaching cloud storage providers (CSPs) to upload their data in the clouds. Among these data, digital videos are fairly huge in terms of storage cost and size; and techniques that can help reducing the cloud storage cost and size are always desired. This paper argues that data deduplication can ease the problem of BigData storage by identifying and removing the duplicate copies from the cloud storages. Although deduplication maximizes the storage space and minimizes the storage costs, it comes with serious issues of data privacy and security. Though the users desire to save some cost by allowing the CSP to deduplicate their data, they do not want the CSP to wane the privacy of their data. In this paper, a scheme is proposed that achieves a secure video deduplication 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. The partial convergent encryption scheme is meant to ensure that the proposed scheme is secured against a semi-honest CSP; the unique signature generation scheme is meant to enable a classification of the encrypted compressed video data in such a way that the deduplication can be efficiently performed on them. Experimental results and security analysis are provided to validate the stated goals.

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Enhanced Encryption schemes of video for real time applications

Cited by 5 publications

References 8 publications

Secure Data Deduplication in Cloud Environments

Secure Data Deduplication in Cloud Environments

Enabling Secured Data Transfer with Encryption Based On Binary Conversion

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

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