On the security of 3D Cat map based symmetric image encryption scheme

Wang, Kai; Pei, Pei; Zou, Liuhua; Song, Aiguo; He, Zhenya

doi:10.1016/j.physleta.2005.05.040

Cited by 145 publications

(58 citation statements)

References 15 publications

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“…The algorithm employed nonlinear functions, such as tangent function and power function with improved larger key space and high-level security. Many encryption algorithms have been proposed that use chaotic maps for encryption as their basic tool [13][14][15][16][17][18], as chaos based methods provide strong encryption strength, better statistical characteristics, and security.…”

Section: Related Workmentioning

confidence: 99%

Modified Multi-Chaotic Systems that are Based on Pixel Shuffle for Image Encryption

Verma¹,

Nizam²,

Ahmad³

2013

Journal of Information Processing Systems

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Abstract-Recently, a pixel-chaotic-shuffling (PCS) method has been proposed by Huang et al. for encrypting color images using multiple chaotic systems like the Henon, the Lorenz, the Chua, and the Rossler systems. All of which have great encryption performance. The authors claimed that their pixel-chaotic-shuffle (PCS) encryption method has high confidential security. However, the security analysis of the PCS method against the chosen-plaintext attack (CPA) and known-plaintext attack (KPA) performed by Solak et al. successfully breaks the PCS encryption scheme without knowing the secret key. In this paper we present an improved shuffling pattern for the plaintext image bits to make the cryptosystem proposed by Huang et al. resistant to chosen-plaintext attack and known-plaintext attack. The modifications in the existing PCS encryption method are proposed to improve its security performance against the potential attacks described above. The Number of Pixel Change Rate (NPCR), Unified Average Changed Intensity (UACI), information entropy, and correlation coefficient analysis are performed to evaluate the statistical performance of the modified PCS method. The simulation analysis reveals that the modified PCS method has better statistical features and is more resistant to attacks than Huang et al.'s PCS method.

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Section: Related Workmentioning

confidence: 99%

Modified Multi-Chaotic Systems that are Based on Pixel Shuffle for Image Encryption

Verma¹,

Nizam²,

Ahmad³

2013

Journal of Information Processing Systems

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“…Then, perform the byte swapping operation for the following 32 values of (i, j, l) one after another: (0,8,4), (1,9,5), (2,10,6), (3,11,7), (4,12,8), (5,13,9), (6,14,10), (7,15,11), (0,4,12), (1,5,13), (2,6,14), (3,7,15), (8,12,16), (9,13,17), (10,14,18), (11,15,19), (0,2,20), (1,3,21), (4,6,22), (5,7,23), (8,…”

Section: Multimedia Cryptography System (Mcs)mentioning

confidence: 99%

“…Due to the subtle similarity between chaos and cryptography, some of multimedia encryption schemes were designed based on one or more chaotic systems [3,4,5,8,9,11]. Meanwhile, a lot of cryptanalytic work has also been reported, showing that many encryption schemes were not designed carefully and are prone to various kinds of attacks [12,13,14,15,16,17,18,19,20,21,22,23].…”

Section: Introductionmentioning

confidence: 99%

A differential cryptanalysis of Yen–Chen–Wu multimedia cryptography system

et al. 2010

Journal of Systems and Software

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Recently, Yen et al. presented a new chaos-based cryptosystem for multimedia transmission named "Multimedia Cryptography System" (MCS). No cryptanalytic results have been reported so far. This paper presents a differential attack to break MCS, which requires only seven chosen plaintexts. The complexity of the attack is O(N ), where N is the size of plaintext. Experimental results are also given to show the real performance of the proposed attack.

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“…Consequently, traditional encryptions methods like IDEA, AES, DES, and RSA have limitation in encrypting image such as low efficiency, bulky data, and high correlation among pixels [2][3][4][5][6]. To face these challenges, a wide variety of cryptographic protocols have been proposed in the literature [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. In the last decade, chaos-based encryption techniques are considered suitable for practical applications since they have good combination of speed, high security, complexity, reasonable computational overheads, and computational power.…”

Section: Introductionmentioning

confidence: 99%

A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network

Telem

Segning

Kenné

et al. 2014

Advances in Multimedia

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A robust gray image encryption scheme using chaotic logistic map and artificial neural network (ANN) is introduced. In the proposed method, an external secret key is used to derive the initial conditions for the logistic chaotic maps which are employed to generate weights and biases matrices of the multilayer perceptron (MLP). During the learning process with the backpropagation algorithm, ANN determines the weight matrix of the connections. The plain image is divided into four subimages which are used for the first diffusion stage. The subimages obtained previously are divided into the square subimage blocks. In the next stage, different initial conditions are employed to generate a key stream which will be used for permutation and diffusion of the subimage blocks. Some security analyses such as entropy analysis, statistical analysis, and key sensitivity analysis are given to demonstrate the key space of the proposed algorithm which is large enough to make brute force attacks infeasible. Computing validation using experimental data with several gray images has been carried out with detailed numerical analysis, in order to validate the high security of the proposed encryption scheme.

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On the security of 3D Cat map based symmetric image encryption scheme

Cited by 145 publications

References 15 publications

Modified Multi-Chaotic Systems that are Based on Pixel Shuffle for Image Encryption

Modified Multi-Chaotic Systems that are Based on Pixel Shuffle for Image Encryption

A differential cryptanalysis of Yen–Chen–Wu multimedia cryptography system

A Simple and Robust Gray Image Encryption Scheme Using Chaotic Logistic Map and Artificial Neural Network

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