Hybrid Encryption-Compression Scheme Based on Multiple Parameter Discrete Fractional Fourier Transform with Eigen Vector Decomposition Algorithm

Sharma, Deepak; Saxena, Rajiv; Singh, Narendra

doi:10.5815/ijcnis.2014.10.01

Cited by 10 publications

(4 citation statements)

References 49 publications

(46 reference statements)

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“…Using the concept of fractional Fourier transform with Eigen vector decomposition algorithm, Deepak Sharma, Rajiv Saxena and Ashutosh Rajput presented a robust image encryption scheme [7]. In this scheme DFrFT was used with the double random phase encoding.…”

Section: Literature Surveymentioning

confidence: 99%

Nonlinear chaos - based security solution for fingerprint data during communication

Ousephachan¹

2014

IOSRJVSP

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Protecting privacy for exchanging information through the media has been a topic researched by many people. This work presents a security solution for transmitting fingerprint images over insecure channels. Here security is provided by an encryption technique based on reversible hidden transform (RHT), fractional wavelet packet transform (FrWPT), chaotic map and singular value decomposition (SVD). This scheme proposes the use of coupled two-dimensional piecewise nonlinear chaotic map (CTPNCM) for selecting the transform order of FrWPT. And here the inputs to this chaotic map act as the secret keys. By architecture itself this nonlinear chaotic map provides more security to the encryption scheme than the linear ones.

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Section: Literature Surveymentioning

confidence: 99%

Nonlinear chaos - based security solution for fingerprint data during communication

Ousephachan¹

2014

IOSRJVSP

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“…Sharma et al [7] conducted researches by combining symmetric cryptographic technique using 2D methods Fractional Multiple Parameter Discrete Fourier Transform (MPDFRFT) followed by lossless compression method using zig-zag, Run Length methods, and Huffman encoding. The proposed scheme provides two freeways of data encryption and compression.…”

Section: A Symmetric Cryptography Methods With Losslessmentioning

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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“…Estimated running time for main functionsThe calculated encryption and decryption time for figure 5 are based on equations(17) and(18) which results in values in table12. The value of total_pix based on table 11 is the sum of the values in the number of pixels column that is equal to 2204 and P is 192.…”

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confidence: 99%

Selective Image Encryption Based On Chaotic Maps And Elliptic Curve Cryptography

Soleymani¹,

Nordin²

2021

Preprint

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The rapid evolution of imaging and communication technologies has transformed images into a widespread data type. Different types of data, such as medical information, official correspondence or governmental and military documents saved and transmitted in the form of images over public networks. Cryptography is a solution to protect confidential images by encrypting before transmission over unsecure channels. Most of the current image encryption methods based on symmetric cryptosystems, which the encryption and the decryption keys are the same and will be shared. However, asymmetric cryptosystems are more useful and secure because of the decryption key kept secret. This paper will focus on asymmetric image encryption algorithms to improve and enhance the security of transmission. Elliptic Curve Cryptography (ECC) is a new public key cryptosystem and provides equivalent security with shorter key length, low mathematical complexity and more computationally efficient rather than RSA. Selective encryption is a solution to decrease the consumed time for asymmetric cryptosystems, which reduce the encryption regions as small as possible. Hence, a hybrid cryptosystem is proposed based on the combination of ECC and chaotic maps that detects the face(s) in an image and encrypt the selected regions. This scheme will encrypt around five percent of the whole image and only confidential regions rather than whole image. The results of security analysis demonstrate the strength of the proposed cryptosystem against statistical, brute force and differential attacks. The evaluated running time for both encryption and decryption processes guarantee that the cryptosystem can work effectively in real-time applications.

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Hybrid Encryption-Compression Scheme Based on Multiple Parameter Discrete Fractional Fourier Transform with Eigen Vector Decomposition Algorithm

Cited by 10 publications

References 49 publications

Nonlinear chaos - based security solution for fingerprint data during communication

Nonlinear chaos - based security solution for fingerprint data during communication

Review of Image Compression and Encryption Techniques

Selective Image Encryption Based On Chaotic Maps And Elliptic Curve Cryptography

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