Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems

Goel, Nidhi; Raman, Balasubramanian; Gupta, Indra

doi:10.1155/2014/910106

Cited by 14 publications

(9 citation statements)

References 22 publications

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“…This process can save storage space for images and tight transmission security of pictorial information more efficiently. In contrast, Goel, N et al [35] combined a lossy compression technique using DCT method with a lossless compression technique using Huffman coding, followed by symmetric cryptosystem technique using Logistic Map method. This paper highlights anything to do with Huffman coding in the view of the proposed image encryption method.…”

Section: Combination Of Lossy and Lossless Compression Methods Withmentioning

confidence: 99%

Review of Image Compression and Encryption Techniques

Setyaningsih¹,

Wardoyo²

2017

ijacsa

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Abstract-In line with a growing need for data and information transmission in a safe and quick manner, researches on image protection and security through a combination of cryptographic and compression techniques begin to take form. The combination of these two methods may include into three categories based on their process sequences. The first category, i.e. cryptographic technique followed by compression method, focuses more on image security than the reduction of a size of data. The second combination, compression technique followed by the cryptographic method, has an advantage where the compression technique can be lossy, lossless, or combination of both. The third category, i.e. compression and cryptographic technologies in a single process either partially or in the form of compressive sensing(CS) provides a good data safety assurance with such a low computational complexity that it is eligible for enhancing the efficiency and security of data/information transmission.

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Section: Combination Of Lossy and Lossless Compression Methods Withmentioning

confidence: 99%

Review of Image Compression and Encryption Techniques

Setyaningsih¹,

Wardoyo²

2017

ijacsa

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“…The results shows that the proposed algorithm giving better compression ratio with better security during transmission. Goel, N et al [16] has combined the lossy and lossless compression methods. DCT is used for lossy compression and Huffman coding is used for lossless compression methodology.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms

Gupta¹,

Vijay²,

Gupta³

2018

EAI Endorsed Transactions on Energy Web

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In the modern era, the issues pertaining with secured, fast and efficient image transmission with limited bandwidth are challenging task. This provides a platform to the researcher to work on image compression-encryption (CE) methodologies. To influence the degree of compression, this paper presents a DCT based compression algorithm using luminous quantization followed by advanced encryption standard (AES) and data encryption standard (DES) encryption methods. In this paper, the effect of encryption over compressed image in terms of PSNR and SSIM is analysed. Efficiency of the AES and DES encryption algorithms are compared based on key space, histogram and differential analysis. The experiment is performed on five different test images. From the results, it is observed that DCT-AES combination of compression-encryption algorithms gives higher resistance to redundant data and provides better security to information during transmission.

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“…So the quality of service mainly depends on fast and correct path search. To find the desired video stream by using the mechanism of minimum hop counts towards the storage peer and to avoid the unnecessary query forwarding as well as to minimize the inter server gossiping during the chunk transfer [12,13], the major routing protocols for wireless ad hoc networks have traditionally focused on finding paths with minimum hop count (MHC). However, such paths can include slow or lossy links, leading to poor throughput [14].…”

Section: Introductionmentioning

confidence: 99%

“…Run length coding (RLC) is used to do the first level of compression. Variable length coding (VLC) does the next level of compression [12,20]. After quantization, the majority of high-frequency DCT coefficients become zeroes.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Video Streaming in Distributed Hybrid Architecture

Kanrar

Mandal

2016

Advances in Multimedia

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Pure Peer to Peer (P2P) network requires enhancing transportation of chunk video objects to the proxy server in the mesh network. The rapid growth of video on demand user brings congestion at the proxy server and on the overall network. The situation needs efficient content delivery procedure, to the video on demand viewer from the distributed storage. In general scenario, if the proxy server does not possess the required video stream or the chunk of that said video, then the same can be smoothly and rapidly streamed to the viewer. This paper has shown that multitier mesh shaped hybrid architecture composed of P2P and mesh architecture increase the number of requests served by the dynamic environment in comparison with the static environment. Optimized storage finding path search reduces the unnecessary query forward and hence increases the size of content delivery to the desired location.

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Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems

Cited by 14 publications

References 22 publications

Review of Image Compression and Encryption Techniques

Review of Image Compression and Encryption Techniques

Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms

Enhancement of Video Streaming in Distributed Hybrid Architecture

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