A novel hyper-chaotic image encryption with sparse-representation based compression

Karmakar, Jayashree; Nandi, Debashis; Mandal, Mrinal Kanti

doi:10.1007/s11042-020-09125-9

Cited by 21 publications

(8 citation statements)

References 34 publications

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“…Additionally, greater chaotic behaviors are seen in hyper-chaotic systems. Furthermore, a random and dynamic combination of the hybrid hyper-chaotic map is suggested to attain excellent encryption performance [18][19][20].…”

Section: International Journal Of Electrical and Computer Engineering...mentioning

confidence: 99%

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Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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Images and video-based multimedia data are growing rapidly due to communication network technology. During image compression and transmission, images are inevitably corrupted by noise due to the influence of the environment, transmission channels, and other factors, resulting in the damage and degradation of digital images. Numerous real-time applications, such as digital photography, traffic monitoring, obstacle detection, surveillance applications, automated character recognition, etc are affected by this information loss. Therefore, the efficient and safe transmission of data has become a vital study area. In this research, an image compression–encryption system is proposed to achieve security with low bandwidth and image de-noising issues during image transmission. The Chevrolet transformation is proposed to improve image compression quality, reduce storage space, and enhance de- noising. A 3D chaotic logistic map with DNA encoding and Tuna Swarm Optimization is employed for innovative image encryption. This optimization approach may significantly increase the image's encryption speed and transmission security. The proposed system is built using the Xilinx system generator tool on a field-programmable gate array (FPGA). Experimental analysis and experimental findings show the reliability and scalability of the image compression and encryption technique designed. For different images, the security analysis is performed using several metrics and attains 32.33 dB PSNR, 0.98 SSIM, and 7.99721 information entropy. According to the simulation results, the implemented work is more secure and reduces image redundancy more than existing methods.

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Section: International Journal Of Electrical and Computer Engineering...mentioning

confidence: 99%

“…Each member may explore a wider region, and TSO can explore globally. The particular mathematical model is presented here: (20) where t rand X is a random search space reference.…”

Section: Spiral Foragingmentioning

confidence: 99%

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Hebbale

Akula²,

Baraki³

2023

Int. j. electr. comput. eng. syst. (Online)

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“…This means that digital images need to be both encrypted and compressed. This approach was followed by many researchers in their research, with particular attention paid to data reduction and confidentiality [18][19][20][21][22][23]. When it comes to achieving encryption and compression of digital files, researchers consider two methods.…”

Section: Related Workmentioning

confidence: 99%

Efficient JPEG Encoding Using Bernoulli Shift Map for Secure Communication

Ahmad

Younus²,

Anjum

et al. 2021

Preprint

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Digital data must be compressed and encrypted to maintain confidentiality and efficient bandwidth usage. These two parameters are essential for information processing in most communication systems. Image compression and encryption may result in reduced restoration quality and degraded performance. This study attempts to provide a compression and encryption scheme for digital data named as Secure-JPEG. This scheme is built on the JPEG compression format, the most widely used lossy compression scheme. It extends the standard JPEG compression algorithm to encrypt data during compression. Secure-JPEG scheme provides encryption along with the process of compression, and it could be altered easily to provide lossless compression. On the other hand, the lossless compression provides less compression ratio and is suitable only in specific scenarios. The paper address the problem of security lacks due to the use of a simple random number generator which can not be cryptographically secure. The improved security characteristics are provided through Generalized Bernoulli Shift Map, which has a chaotic system with demonstrated security. The algorithm's security is tested by several cryptographic tests and the chaotic system’s behavior is also analyzed.

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“…1(a) shows the compression process before encryption, which includes compression, encryption and encrypted output. Since compression is done before encryption, the encryption process requires less computational time [9]. In the other scenario, the sender first encrypts the image using a secret key and then compresses it to minimize bandwidth without any information about the secret key [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An Improved Encryption–Compression-based Algorithm for Securing Digital Images21

Singh

2023

J. Data and Information Quality

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Nowadays, there is an increasing tendency to upload images to online platforms acting as information carriers for various applications. Unfortunately, the unauthorized utilization of such images is a serious concern that has significantly impacted security and privacy. Although digital images are widely available, the storage of these images requires a large amount of data. This study aims to address these issues by developing an improved encryption–compression-based algorithm for securing digital images that reduces unnecessary hardware storage space, transmission time and bandwidth demand. First, the image is encrypted using chaotic encryption. Then the encrypted image is compressed using wavelet-based compression in order to make efficient use of resources without any information about the encryption key. On the other side, the image is decompressed and decrypted by the receiver. The security assessment of the proposed algorithm is performed in different ways, such as differential and statistical, key sensitivity and execution time analysis. The experimental analysis proves the security of the method against various possible attacks. Furthermore, the extensive evaluations on a real dataset demonstrate that the proposed solution is secure and has a low encryption overhead compared to similar methods.

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A novel hyper-chaotic image encryption with sparse-representation based compression

Cited by 21 publications

References 34 publications

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA

Efficient JPEG Encoding Using Bernoulli Shift Map for Secure Communication

An Improved Encryption–Compression-based Algorithm for Securing Digital Images21

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