Review of Image Compression and Encryption Techniques

Setyaningsih, Emy; Wardoyo, Retantyo

doi:10.14569/ijacsa.2017.080212

Cited by 33 publications

(25 citation statements)

References 36 publications

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“…In this article, compression algorithms are applied first and then compressed images are encrypted. It can be seen from literature review that the cost of security is minimum if compression is performed before encryption [20]. In this research three different case studies are analyzed: The compressed encrypted images are decompressed and decrypted by using inverse DCT transformation and inverse AES algorithm respectively in order to get the original image.…”

Section: Resultsmentioning

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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Section: Resultsmentioning

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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“…2D-DWT [16] can be obtained by applying 1D DWT row wise to produce L and H sub-bands in each row then column wise. Total four number of sub-bands (LL1, LH1, HL1, and HH1) are acquired for level 1 decomposition [23].…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

Performance analysis of compression algorithms for information security: A Review

Sharma

Batra

2018

ICST Transactions on Scalable Information Systems

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Data compression is a vital part of information security, since compressed data is much more secure and convenient to handle. Effective data compression technique creates an effective, secure, easy communicable & redundant data. There are two types of compression algorithmic techniques:-lossy and lossless. These techniques can be applied to any data format like text, audio, video or image file. The primary objective of this study was to analyse data compression techniques used for information security techniques like steganography, cryptography etc. Four each, lossy and lossless techniques are implemented and evaluated on parameters like-file size, saving percentage, time, compression ratio and speed. Detailed analysis shows that the lossy techniques performs better quantitatively whereas lossless is better qualitatively. However, lossless techniques are more effective as there is no data loss during the process. Among all, Huffman encoding outperforms other algorithms.

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“…Development of information technology has immensely influenced the change in communication from conventional to digital means [1]- [3], this improvement in communication lead to confidentiality issues especially during the transit of information from source to its intended recipient [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Modified AES Cipher Round and Key Schedule

Reyes¹,

Sison²,

Medina³

2019

IJEEI

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In this paper, Advanced Encryption Standard was modified to address the low diffusion rate at the early rounds by adding additional primitive operations such as exclusive OR and modulo arithmetic in the cipher round. Furthermore, byte substitution and round constant addition were appended to the key schedule algorithm. The modified AES was tested against the standard AES by means of avalanche effect and frequency test to measure the diffusion and confusion characteristics respectively. The results of the avalanche effect evaluation show that there was an average increase in diffusion of 61.98% in round 1, 14.79% in round 2 and 13.87% in round 3. Consequently, the results of the frequency test demonstrated an improvement in the randomness of the ciphertext since the average difference between the number of ones to zeros is reduced from 11.6 to 6.4 along with better-computed p-values. The results clearly show that the modified AES has improved diffusion and confusion properties and the ciphertext can still be successfully decrypted and recover back the original plaintext.

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Review of Image Compression and Encryption Techniques

Cited by 33 publications

References 36 publications

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

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

Performance analysis of compression algorithms for information security: A Review

Modified AES Cipher Round and Key Schedule

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