A Review of Chaos based Image Encryption

Suneja, Kanika; Dua, Shelza; Dua, Mohit

doi:10.1109/iccmc.2019.8819860

Cited by 31 publications

(12 citation statements)

References 15 publications

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“…Furthermore, a comparison of the scheme has been made with [ 24 , 25 , 26 , 28 , 33 , 34 , 36 , 37 , 39 , 44 , 55 ] for PSNR and payload for natural images MI-K and MI-M as shown in Table 7 .…”

Section: Resultsmentioning

confidence: 99%

“…Pertinent to mention, though 1-D chaos-based algorithms are simple to implement but have disadvantages like less robustness, simpler dynamical nature, and reduced keyspace [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 ]. On the other hand, the HC systems have complex dynamical behavior, better key sensitivity, and larger keyspace.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various sensors. The EHR is processed and transmitted to distant experts for better diagnosis and improved healthcare delivery. However, for the successful implementation of Heath 4.0 many challenges do exist. One of the critical issues that needs attention is the security of EHRs in smart health systems. In this work, we have developed a new interpolation scheme capable of providing better quality cover media and supporting reversible EHR embedding. The scheme provides a double layer of security to the EHR by firstly using hyperchaos to encrypt the EHR. The encrypted EHR is reversibly embedded in the cover images produced by the proposed interpolation scheme. The proposed interpolation module has been found to provide better quality interpolated images. The proposed system provides an average peak signal to noise ratio (PSNR) of 52.38 dB for a high payload of 0.75 bits per pixel. In addition to embedding EHR, a fragile watermark (WM) is also encrypted using the hyperchaos embedded into the cover image for tamper detection and authentication of the received EHR. Experimental investigations reveal that our scheme provides improved performance for high contrast medical images (MI) when compared to various techniques for evaluation parameters like imperceptibility, reversibility, payload, and computational complexity. Given the attributes of the scheme, it can be used for enhancing the security of EHR in health 4.0.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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“…Suneja et al [21] Key security evaluation Comparison and review of chaotic maps A deeper analysis of the modified logistic map was performed with three-state test and phase portrait apart from bifurcation diagram, Lyapunov exponent [22]. Surprisingly, a divergent dynamics of the map was observed, which is given in Fig.…”

Section: Literature Reviewmentioning

confidence: 99%

Review of Chaos Detection Techniques Performed on Chaotic Maps and Systems in Image Encryption

Muthu

Murali

2021

SN COMPUT. SCI.

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The security concern in recent times has been rising exponentially, this has lead for highly secured image transmission. Chaos-based image encryption is increasingly used to protect images with high degree of security than other encryption techniques. Hence, novel chaotic dynamical systems are developed for this purpose with more advanced features and models. Various chaos detection techniques are performed on them to examine and measure their complexity. This paper analyzes the frequency of the chaos tests performed on 25 discrete chaotic maps and 18 continuous chaotic systems and reviewed for their effectiveness. It is observed that the bifurcation diagram and Lyapunov exponent are the most highly used tests for chaotic maps. Whereas, phase portrait and bifurcation diagram are commonly used for chaotic systems. Tests such as 0-1 test, three-state test and some entropy tests are seldom used. Further, the dynamics of the chaotic systems are better studied than the chaotic maps. But in most cases of chaotic maps, the test is performed only for certain random control parameter range, and its dynamics beyond that range is unknown. Hence, it is crucial to realize three important facts. First, a complete examination of the novel system must be performed with the appropriate chaos detection technique. Second, the complete range of the chaotic and non-chaotic region of a system must be presented. Third, the strength of chaos must be examined. These results are essential for generating a highly secured nonlinear key for an encryption algorithm, which makes it resistant to various attacks.

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“…Here, r is known as the control parameter that lies in the range [0, 1] and a n is defined as the ratio of existing population to highest possible population, which lies in the interval [0,4]. Initial values of a 0 and r determine the sequence generated with the help of LM.…”

Section: Lm and Ilmmentioning

confidence: 99%

“…The types of information exchange have undergone a radical transformation during last few decades. In the recent scenario, we exchange our most of the information in the form of digital images using electronic devices such as computers or mobiles [1][2][3][4]. Hence, security of digital images is a matter of great concern.…”

Section: Introductionmentioning

confidence: 99%

An ILM-cosine transform-based improved approach to image encryption

Dua

Suthar

Garg

et al. 2020

Complex Intell. Syst.

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The chaos-based cryptography techniques are used widely to protect digital information from intruders. The chaotic systems have some of special features that make them suitable for the purpose of encryption. These systems are highly unpredictable and are highly sensitive or responsive to the initial conditions, also known as butterfly effect. This sensitive dependence on initial conditions make these systems to exhibit an intricate dynamical behaviour. However, this dynamical behaviour is not much complex in simple one-dimensional chaotic maps. Hence, it becomes easy for an intruder to predict the contents of the message being sent. The proposed work in this paper introduces an improved method for encrypting images, which uses cosine transformation of 3-D Intertwining Logistic Map (ILM). The proposed approach has been split into three major parts. In the first part, Secure Hash Function-256 (SHA-256) is used with cosine transformed ILM (CT-ILM) to generate the chaotic sequence. This chaotic sequence is used by high-efficiency scrambling to reduce the correlations between the adjacent pixels of the image. In the second part, the image is rotated to move all the pixels away from their original position. In the third part, random order substitution is applied to change the value of image pixels. The effectiveness of the proposed method has been tested on a number of standard parameters such as correlation coefficient, Entropy and Unified average change in intensity. The proposed approach has also been tested for decryption parameters like mean square error and peak signal to noise ratio. It can easily be observed from the obtained results that the proposed method of image encryption is more secure and time efficient than some earlier proposed techniques. The approach works for both color and grey scale images.

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A Review of Chaos based Image Encryption

Cited by 31 publications

References 15 publications

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Review of Chaos Detection Techniques Performed on Chaotic Maps and Systems in Image Encryption

An ILM-cosine transform-based improved approach to image encryption

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