Balancing Compression and Encryption of Satellite Imagery

Abboud, Ali J.; Albu-Rghaif, Ali; Jassim, Abbood Kirebut

doi:10.11591/ijece.v8i5.pp3568-3586

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…In recent years, encryption is playing an essential role in many aspects, such as military, trade secrets and satellite imagery [1][2][3][4][5][6]. Encoding is the process of converting something in the physical world into a representation that can be stored or shared.…”

Section: Introductionmentioning

confidence: 99%

Files cryptography based on one-time pad algorithm

Al-Smadi

Aloglah

Abu-darwish

et al. 2021

IJECE

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The Vernam-cipher is known as a one-time pad of algorithm that is an unbreakable algorithm because it uses a typically random key equal to the length of data to be coded, and a component of the text is encrypted with an element of the encryption key. In this paper, we propose a novel technique to overcome the obstacles that hinder the use of the Vernam algorithm. First, the Vernam and advance encryption standard AES algorithms are used to encrypt the data as well as to hide the encryption key; Second, a password is placed on the file because of the use of the AES algorithm; thus, the protection record becomes very high. The Huffman algorithm is then used for data compression to reduce the size of the output file. A set of files are encrypted and decrypted using our methodology. The experiments demonstrate the flexibility of our method, and it’s successful without losing any information.

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Section: Introductionmentioning

confidence: 99%

Files cryptography based on one-time pad algorithm

Al-Smadi

Aloglah

Abu-darwish

et al. 2021

IJECE

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“…However, exchanging images in this way increases the possibility of threats by unauthorized persons changing or stealing these images [2]. The most effective tool to prevent such adversary threats to digital images is cryptographic encryption/decryption algorithms [3], [4]. These tools are used to scramble images during storage, transmission and processing.…”

Section: Introductionmentioning

confidence: 99%

Robust Image Encryption With Scanning Technology, the El-Gamal Algorithm and Chaos Theory

2020

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Digital images are the most frequently used signals to convey information in the internet era. The security of these images is the primary concern in rapidly changing networked environments. In this research, we present a novel approach to secure images by integrating a scanning technique, the El-Gamal public key cryptosystem and chaotic systems. In brief, zigzag and spiral scanning are used first to construct a permuted image. Then, the El-Gamal encryption algorithm is exploited to encrypt the permuted image. Finally, Lorenz and Rössler chaotic sequences are utilized to scramble the pixel locations in the confusion and diffusion stages. This last step that mixes two stages can fortify the entire security performance and enlarge the key size. Exhaustive analysis has been carried out on the SIPI (signal and image processing institute) dataset to assess the efficiency and security of the proposed method. Numerical and visual results indicate the capability of the proposed image cryptosystem to protect images against several known attacks. In addition, the comparative analysis results indicate that the proposed approach outperforms the compared approaches in terms of the visual quality and security criteria.INDEX TERMS Image security, scanning, chaotic, Lorenz and Rössler sequences, El-Gamal algorithm.

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“…Arnold chaotic maps are used, so that image encryption is resistant to attacks by differential attacks and brute force. While the RC4 method is used to increase resistance to statistical attacks, RC4 belongs to the stream cipher, which has the advantage of fast computing [28]. Shifting techniques are also proposed in research [15,26,29].…”

Section: Introductionmentioning

confidence: 99%

Triple layer image security using bit-shift, chaos, and stream encryption

et al. 2020

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One popular image security technique is image encryption. This research proposes an image encryption technique that consists of three encryption layers, i.e. bit-shift encryption, chaos-based encryption, and stream encryption. The chaos algorithm used is Arnold's chaotic map, while the stream cipher algorithm used is RC4. Each layer has different cryptology characteristics in order to obtain safer image encryption. The characteristics of cryptology are permutation, confusion, diffusion, and substitution. The combination of the proposed encryption method aims to secure images against various attacks, especially attacks on statistics and differentials. The encryption method testing is done by various measuring instruments such as statistical analysis, i.e. entropy information, avalanche effect, and histogram, differential analysis, i.e. UACI and NPCR, visual analysis using PSNR and SSIM, and bit error ratio. Based on the results of experiments that the encryption method that we propose can work excellently based on various measurement instruments. The decryption process can also work perfectly this is evidenced by the ∞ value based on PSNR, and zero value based on SSIM and BER.

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Balancing Compression and Encryption of Satellite Imagery

Cited by 5 publications

References 20 publications

Files cryptography based on one-time pad algorithm

Files cryptography based on one-time pad algorithm

Robust Image Encryption With Scanning Technology, the El-Gamal Algorithm and Chaos Theory

Triple layer image security using bit-shift, chaos, and stream encryption

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