A content-based encryption scheme for wireless H.264 compressed videos

Zhao, Yingdi; Li, Zhuo

doi:10.1109/wcsp.2012.6543022

Cited by 10 publications

(26 citation statements)

References 14 publications

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“…We implemented the reference H.264 video encryption method [2] using JM H.264 standard reference software and modified the code to include our proposed decoding method that utilizes bit reversing. We performed experiments with several video files.…”

Section: Resultsmentioning

confidence: 99%

“…Unlike the first one, these algorithms choose the part of compressed video data to encrypt. In this paper, we choose one of the most efficient selective video encryption algorithms, which is published in [2].…”

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

“…The encryption algorithm in [2] firstly classifies the input video according to the texture and motion complexity. The texture and motion intensity complexity is measured as shown in Figure 6.…”

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

“…The input video is classified into one of six categories according to the two-class of texture complexity measurement and three-class of motion complexity measurement. Figure 7 shows the overall process of the video encryption in [2]. The selective encryptions are applied in three ways: intra_pred_mode (intra prediction mode of macro block) encryption, LowCoeffSign (DCT coefficient codeword parameter) encryption, and MVD (motion vector difference) codeword encryption.…”

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

“…Here, we select an existing video encryption system from [2] as a reference to illustrate the importance of decoding time reduction and to demonstrate the impact of our proposed fast decoding method. Figure 1 shows the decoding ratio of a reference video encryption system.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fast H.264 Video Decoding by Bit Order Reversing and Its Application to Real-time H.264 Video Encryption

Lee²,

Joo³

2016

IJMUE

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Section: Resultsmentioning

confidence: 99%

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

Section: H264 Video Encryption Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fast H.264 Video Decoding by Bit Order Reversing and Its Application to Real-time H.264 Video Encryption

Lee²,

Joo³

2016

IJMUE

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Content-Based Encryption

Wang

2016

Information Security and Privacy

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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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A content-based encryption scheme for wireless H.264 compressed videos

Cited by 10 publications

References 14 publications

Fast H.264 Video Decoding by Bit Order Reversing and Its Application to Real-time H.264 Video Encryption

Fast H.264 Video Decoding by Bit Order Reversing and Its Application to Real-time H.264 Video Encryption

Content-Based Encryption

Proof of Storage for Video Deduplication in the Cloud

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