Video Encryption Technique Research Articles

Faster abnormality localization and recognition in a secured video bitstream by implementation of video encryption techniques

Cloud video storage uses an encrypted format to protect user data. It means encrypted video processing is an essential part of secured cloud storage. In order to detect suspicious or anomalous behavior, video surveillance must have encrypted cloud access. The primary goals of this research are to estimate parameters and detect abnormalities in an encrypted video bitstream. Various typical properties of video encoding frameworks and format-compliant encryption algorithms are investigated to identify abnormalities in an encrypted video bitstream using format-compliant encryption. The encrypted bitstream is decrypted to get three different kinds of enhancement features: the sizes of macroblocks, partitions of macroblocks, and the magnitude of the motion vector. The identification and localization methods now do not include video decryption or complete decompression. The proposed strategy has been created to implement the video encryption scheme efficiently and is compatible with various video encryption techniques. The experimental findings demonstrate that, in comparison to other methods, the proposed approach provides optimal running time and detection rate performance.

A systematic review on video encryption algorithms: A future research

<p>Video Encryption is widely used in many real-time applications today. Despite numerous video encryption techniques that are available today, the challenges such as time and space complexity, real time latency, scalability and vulnerability towards few attacks still exist in the research domain, however few algorithms have achieved acceptable computational complexity, but in such cases vulnerability to certain attacks (differential, statistical, plain text attack, and cipher text attacks) are still a threat to secure video transmission. To the best of our knowledge, a comprehensive but detailed systematic literature review on video encryption is needed for the researchers in the scientific community. This paper, therefore, presents a systematic literature review of 30 scientific documents extracted from platforms like scopus and web of science. The paper, comprehensively addresses, various techniques of video encryption and encoding, different evaluation parameters to testify the performance of the algorithms and discusses the challenges of the existing video encryption algorithms. After careful investigation, it has been observed the approaches which involve encryption of the video data post the same has been encoded is the most efficient and scalable approach towards video encryption. In addition, it also implies that in near future, the proposed algorithms, must be evaluated based on the various categorization of parameters illustrated in this paper.</p>

Video Encryption Technique Based on Hybrid Chaotic Maps and Multi- Operation keys

Video Encryption Technique Based on Hybrid Chaotic Maps and Multi- Operation keys

3D chaotic map-cosine transformation based approach to video encryption and decryption

Abstract Data security is vital for multimedia communication. A number of cryptographic algorithms have been developed for the secure transmission of text and image data. Very few contributions have been made in the area of video encryption because of the large input data size and time constraints. However, due to the massive increase in digital media transfer within networks, the security of video data has become one of the most important features of network reliability. Block encryption techniques and 1D-chaotic maps have been previously used for the process of video encryption. Although the results obtained by using 1D-chaotic maps were quite satisfactory, the approach had many limitations as these maps have less dynamic behavior. To overcome these drawbacks, this article proposes an Intertwining Logistic Map (ILM)-Cosine transformation-based video encryption technique. The first step involved segmenting the input video into multiple frames based on the frames per second (FPS) value and the length of the video. Next, each frame was selected, and the correlation among the pixels was reduced by a process called permutation/scrambling. In addition, each frame was rotated by 90° in the anticlockwise direction to induce more randomness into the encryption process. Furthermore, by using an approach called the random order substitution technique, changes were made in each of the images, row-wise and column-wise. Finally, all the encrypted frames were jumbled according to a frame selection key and were joined to generate an encrypted video, which was the output delivered to the user. The efficiency of this method was tested based on the state of various parameters like Entropy, Unified Average Change in Intensity (UACI), and correlation coefficient (CC). The presented approach also decrypts the encrypted video, and the decryption quality was checked using parameters such as mean square error (MSE) and peak signal-to-noise ratio (PSNR).

An Efficient Enhanced Full Homomorphic Encryption for Securing Video in Cloud Environment

At present days, exponential growth in the transmission of multimedia data takes place due to a significant rise in network bandwidth and video image compression technologies. However, the transmission of videos over wireless channels often brings an unseen risk that sensitive video details might be corrupted and distributed in an illegal way. So, the security of video transmission has become a hot research topic. Several encryption models have been presented in the literature, yet, it is believed that the performance of encryption process can be further improved. In this perspective, an efficient novel video encryption technique is presented using an enhanced variant of Fully Homomorphic Encryption (FHE) model called as EFHE model. By the hybridization of Ducas and Micciancio (DM) with the FHE model presented by Gentry, Sahai, and Waters (GSW), matrix operations vector additions are properly employed in the proposed EFHE model. In addition, a new key generation scheme to increase the fastness of the encryption process. The EFHE model is designed and placed on a cloud environment which leads to reduced cloud user’s communication and computation complexity. It is ensured that the presented EFHE model is highly efficient and secure over the compared methods.

Selective Video Encryption Using the Cross Coupling of One-dimensional Logistic Maps

H.264 videos have been the most shared type of video format in recent times and hence its security is a major issue. The techniques presented in the recent times incur complex computations. The major research objective is to design an efficient Chaotic Selective Video Encryption (CSVE) technique which can result in a better visual degradation of the encrypted video with less computational complexity. In the proposed work, in order to secure the H.264 videos, two one-dimensional logistic maps are cross coupled in the chaotic encryption technique which uses a lookup table for data conversion. The technique is evaluated using different performance metrics like Peak Signal to Noise Ratio (PSNR), entropy, statistical analysis etc along with the traditional logistic map. The work is compared with some recent techniques in terms of PSNR and was found out that the proposed technique has better encryption effect.

Survey of Various Advanced Video Compression and Encryption Techniques

Survey of Various Advanced Video Compression and Encryption Techniques

Improved Perceptual Video Encryption Technique using Residue Number System

In this paper, we propose an enhanced perceptual video encryption technique to speed-up and secure cipher video transmitted across networks using Residue Number System (RNS). The technique proposes a new reverse converter with smaller dynamic range using the moduli set {2n-1, 2n, 2n+1} that is integrated into our previous work of [2]. After encryption, cipher video is encoded into three residual videos that have smaller pixel values and ideal for transmission across networks. Instead of transmitting the three (3) residual videos, the technique effectively transmits and decodes only two (2) of them back into the original video with same visual quality. Experimental results show that the technique enhances transmission speed and security of cipher video across networks.

Integrated visual security management for optimal condition explorations in resource-constrained systems

As more and more mobile video applications contain important and private video data, various video encryption techniques have been proposed to protect them. Many of those applications typically utilize the standard video compression while running on mobile platforms which have limited amount of resources. Therefore, we need to consider not only the protection but also the compression and the energy in the mobile video applications. Accordingly, the selective video encryption which protects partial data within the standard video compression has been challenging thanks to format compliance and low computational complexity. However, various parameters of the video compression and the video encryption result in different amount of visual security, compression efficiency, and energy efficiency. Further, it is difficult to find the one solution to maximize all those performance indices at once since there exist tradeoff relationships among them. Therefore, based on the tradeoff relationships, design space exploration should be required to find the interesting parameter set under the given requirements. For the efficient design space exploration, we propose the BEVS (bitrate and energy-bound visual security) to examine each Joint Video Compression and Encryption scheme in terms of the visual security, the compression efficiency, and the energy efficiency. Utilizing the proposed BEVS in our experimental design space, we achieve up to 36.7% visual security improvement under the empirical budgets.

Video encryption using chaotic masks in joint transform correlator

A real-time optical video encryption technique using a chaotic map has been reported. In the proposed technique, each frame of video is encrypted using two different chaotic random phase masks in the joint transform correlator architecture. The different chaotic random phase masks can be obtained either by using different iteration levels or by using different seed values of the chaotic map. The use of different chaotic random phase masks makes the decryption process very complex for an unauthorized person. Optical, as well as digital, methods can be used for video encryption but the decryption is possible only digitally. To further enhance the security of the system, the key parameters of the chaotic map are encoded using RSA (Rivest–Shamir–Adleman) public key encryption. Numerical simulations are carried out to validate the proposed technique.

Encryption for high efficiency video coding with video adaptation capabilities

Video encryption techniques enable applications like digital rights management and video scrambling. Applying encryption on the entire video stream can be computationally costly and prevents advanced video modifications by an untrusted middlebox in the network, like splicing, quality monitoring, watermarking, and transcoding. Therefore, encryption techniques are proposed which influence a small amount of the video stream while keeping the video compliant with its compression standard, High Efficiency Video Coding. Encryption while guaranteeing standard compliance can cause degraded compression efficiency, so depending on their bitrate impact, a selection of encrypted syntax elements should be made. Each element also impacts the quality for untrusted decoders differently, so this aspect should also be considered. In this paper, multiple techniques for partial video encryption are investigated, most of them having a low impact on rate-distortion performance and having a broad range in scrambling performance.

A Novel Approach of Digital Video Encryption

the recent years with the development of internet technologies, video technologies have been broadly used in TV, communication and multimedia, So security is required on video data. Although much video encryption technique has been develop but not give so much efficiency in terms of encryption and decryption process. However, they are more complex to implement as a system and are difficult to be applied in a widespread manner. Here we propose a new novel scheme for digital video encryption. In this paper we give a method to generate an encrypted video by encrypted Video-frame. Based on novel secure video scheme, an effective and generalized scheme of video encryption. It is a matrix computation scheme which uses a concept of Video- frame and xor() operation. This paper proves that proposed scheme is able to fully encrypt the video frame and have a better performance that can be measured by different Parameters. Further we can extend our approach into a digital video stenography.

Partial Video Encryption Based on Alternating Transforms

In this letter, we propose a novel video encryption technique that is used to achieve partial encryption where an annoying video can still be reconstructed even without the security key. In contrast to the existing methods where the encryption usually takes place at the entropy-coding stage or the bit-stream level, our proposed scheme embeds the encryption at the transform stage during the encoding process. To this end, we develop a number of new unitary transforms that are demonstrated to be equally efficient as the well-known DCT and thus used as alternates to DCT during the encoding process. Partial encryption is achieved through alternately applying these transforms to individual blocks according to a pre-designed secret key. Analysis on the security level of this partial encryption scheme is carried out against various common attacks and some experimental results based on H.264/AVC are presented.

Adaptation–aware encryption of scalable H.264/AVC video for content security

Data encryption is one of the key information security technologies used for safeguarding multimedia content from unauthorised access and manipulation in end-to-end delivery and access chains. This technology, combined with the appropriate cryptographic methods, effectively prevents the content against malicious attacks, so as to protect its authenticity as well as integrity. While encryption-based security is ensuring the authorised consumption of the multimedia content, content adaptation technologies have the primary goal of providing means for wider dissemination of the content across diverse networks, devices and users, and thus enriching user satisfaction and experience of the delivered content within a given set of usage environment constraints. Traditionally, protected contents can only be adapted at trusted adaptation engines residing between the source and end-users, since they have to be fully decrypted before performing the necessary adaptation operations. The drawback of such a process is that it significantly limits the availability and flexibility of adaptation engines applicable for adapting protected contents on the fly. Thus, this paper proposes a novel scalable H.264/advanced video coding (AVC)-compatible video encryption technique, which is also transparent to adaptation engines in an end-to-end video delivery scenario. The proposed technology relies on keeping syntax elements required for performing the adaptation operations clear (i.e., not encrypted). The effectiveness of the proposed technique has been successfully verified in scenarios, where both conventional joint scalable video model (JSVM) bit stream extracting and random packet dropping mechanisms are used.