Synthetic Image and Strange Attractor: Two Folded Encryption Approach for Secure Image Communication

Arumugham, Sridevi; Rajagopalan, Sundararaman; Rethinam, Sivaraman; Janakiraman, Siva; Lakshmi, C.; Amirtharajan, Rengarajan

doi:10.1007/978-981-15-1081-6_40

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…An image encryption method using Chen attractor and FPGA-generated synthetic images was described by Kumar and Yuvaraja. A synthetic picture was produced using an Altera Cyclone II FPGA, utilizing 438 logic components and 34.03 mW of power consumption [24].…”

Section: Logistic Mapmentioning

confidence: 99%

A review of enhanced image techniques using chaos encryption

Kamil,

Alhyani,

Abduljabbar

2023

Sustainable Engineering and Innovation

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Secured multimedia data has grown in importance over the last few decades to safeguard multimedia content from unwanted users. Generally speaking, a number of methods have been employed to hide important visual data from eavesdroppers, one of which is chaotic encryption. This review article will examine chaotic encryption methods currently in use, highlighting their benefits and drawbacks in terms of their applicability for picture security.

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Section: Logistic Mapmentioning

confidence: 99%

A review of enhanced image techniques using chaos encryption

Kamil,

Alhyani,

Abduljabbar

2023

Sustainable Engineering and Innovation

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“…In contrast to the discrete chaotic maps, the systems governed by differential equations are called as dynamical systems with continuous time. They are called the chaotic system, which is characteristic of three or higher dimensions [34]. The systems are classified as chaotic if they possess at least one positive Lyapunov exponent, and hyper-chaotic if more than one positive Lyapunov exponent is exhibited [35].…”

Section: Classification Of Chaosmentioning

confidence: 99%

“…They produce a butterfly pattern when subjected to particular values of control parameters. The strange attractors which manifest chaos are used in image encryption [34,36].…”

Section: Classification Of Chaosmentioning

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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