A new image encryption scheme based on a chaotic function

François, M.; Grosges, Thomas; Barchiesi, Dominique; Erra, Robert

doi:10.1016/j.image.2011.11.003

Cited by 112 publications

(73 citation statements)

References 20 publications

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“…The others depend on the key-updating periodically such as: Chaos Block Cipher for Wireless Sensor Network (CBCW) [6] and New Encryption Algorithm for Wireless Sensor Network (NEA-WSN) [7]. Another way to encrypt the image has introduced in an algorithm denoted by New Image Encryption Scheme Based on a Chaotic Function and will be referred to by (NIES) in this paper [8]. Both CBCW and NEA-WSN enhance the performance of the security depending on the key updating with each pixel and with each row in the image respectively, while NIES deal with contents of the image as bits and change their positions inside the image many times specified by a program to determine the number of the iterations.…”

Section: Another Encryption Algorithmsmentioning

confidence: 99%

Enhancements in the Security Level for Wireless Sensor Network

Kishk¹,

Messiha²,

El-Fishawy³

et al. 2015

JIS

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The trade off between the energy consumption and the quality of the received image should be considered as a main point in the techniques design in Wireless Sensor Network (WSN). This paper analyzes the performance of multiple image encryption algorithms with different approaches. And also, it introduces two proposed modulation techniques to enhance the performance of WSN. These two techniques merge both the image and the audio in one signal. The merging process enhances the energy consumption data rate. In addition, it removes the effectiveness of the jamming completely from both the reconstructed image and reconstructed audio signal at the receiver. So, the receiver will reconstruct the image without jamming effectiveness. The paper introduces a proposed audio encryption algorithm. The use of encryption algorithms for both image and audio signals with the merging process enhances the security level. Popular metrics are used to compare between these image encryption algorithms and also to show the benefits from these enhancements. The results show the preference of one of these image encryption algorithms to others. And also, the merging process enhances the bit rate to high level.

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Section: Another Encryption Algorithmsmentioning

confidence: 99%

Enhancements in the Security Level for Wireless Sensor Network

Kishk¹,

Messiha²,

El-Fishawy³

et al. 2015

JIS

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“…Guodong Ye [1] proposed an image encryption scheme with generalized Arnold map, as the key stream depends on the processed image the method can resist known-and chosen-plain text attacks. To solve the problem of small key space multiple chaotic maps were used in [2,3,6]. Yanbing Liu [5] suggested energy efficient chaotic block cipher suitable for wireless sensor networks.…”

Section: Literature Surveymentioning

confidence: 99%

“…The conventional encryption methods such as AES, DES, IDEA, RSA etc. are computationally intensive hence consume more time and are not suitable for images [4,5,6,7]. There exist several image encryption algorithms in the literature, some of these suffer with brute-force attack, statistical attack, and differential attacks.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Image Encryption based on Parametric Mixing Chaotic System

Hanchinamani¹,

Kulakarni²

2014

IJCA

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Advanced image encryption schemes for secure transmission and storage are increasingly needed for a number of applications like medical, military, satellite etc. In this paper, a novel image encryption algorithm based on Logistic and Tinkerbell map is proposed.The proposed method uses two 1-D Logistic maps with different keys and one 2-D Tinkerbell map. The chaotic sequence generated is mixed sequence from the and sequences of Tinkerbell map depending on the chaotic sequences of two logistic maps. The main advantage of such a scheme is complex chaotic behavior of the generated chaotic sequences. The security and performance of the proposed method is analyzed thoroughly by using key-sensitivity, keyspace, statistical, entropy, differential and performance analysis. The proposed approach achieves the required level of security with only one round of encryption operation. Hence the proposed method is computationally efficient.

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“…Because chaotic systems/maps have some intrinsic properties, such as ergodicity, sensitive to the initial condition and control parameters, which are analogous to the confusion and diffusion properties specified by Shannon [1]. Thus makes it natural to employ chaotic systems in image encryption algorithms [2][3][4][5][6][7][8][9][10][11]. Therefore, many chaotic image encryption algorithms have been developed by directly utilizing existing chaotic systems/maps [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%