Provably secure three-party key agreement protocol using Chebyshev chaotic maps in the standard model

Lai, Hong; Orgun, Mehmet A.; Xiao, Jinghua; Pieprzyk, Josef; Xue, Liyin; Yang, Yixian

doi:10.1007/s11071-014-1388-z

Cited by 22 publications

(9 citation statements)

References 30 publications

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“…A chaotic system is used to generate real number sequence for plaintext image subblock. ere are five commonly used chaotic systems, namely, logistic chaotic system, Chebyshev chaotic system, Skew Tent chaotic system, Henon chaotic system, and Lorenz chaotic system [19][20][21][22][23]. e description of the above five chaotic systems is as follows:…”

Section: Chaotic System Processingmentioning

confidence: 99%

A New V-Net Convolutional Neural Network Based on Four-Dimensional Hyperchaotic System for Medical Image Encryption

Wang

Yin

Shafiq

et al. 2022

Security and Communication Networks

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In the transmission of medical images, if the image is not processed, it is very likely to leak data and personal privacy, resulting in unpredictable consequences. Traditional encryption algorithms have limited ability to deal with complex data. The chaotic system is characterized by randomness and ergodicity, which has advantages over traditional encryption algorithms in image encryption processing. A novel V-net convolutional neural network (CNN) based on four-dimensional hyperchaotic system for medical image encryption is presented in this study. Firstly, the plaintext medical images are processed into 4D hyperchaotic sequence images, including image segmentation, chaotic system processing, and pseudorandom sequence generation. Then, V-net CNN is used to train chaotic sequences to eliminate the periodicity of chaotic sequences. Finally, the chaotic sequence image is diffused to change the raw image pixel to realize the encryption processing. Simulation test analysis demonstrates that the proposed algorithm has better effect, robustness, and plaintext sensitivity.

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Section: Chaotic System Processingmentioning

confidence: 99%

A New V-Net Convolutional Neural Network Based on Four-Dimensional Hyperchaotic System for Medical Image Encryption

Wang

Yin

Shafiq

et al. 2022

Security and Communication Networks

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“…Smart cards are not available in these protocols. We compare our protocol with Lai et al Farash et al's [31] 3T C + 4T H 3T C + 4T H 4T C + 4T H 10T C + 12T H 6 No No Lai et al's [30] 6T According to Ref. [20], the time cost of these operations implemented in the environment (CPU: 3.2 GHz, RAM 3.0 G) satisfies the following:…”

Section: Performance Analysismentioning

confidence: 99%

“…To handle this issue, many key agreement protocols in three-party settings have been developed. [25][26][27][28][29][30][31][32] In a three-party key agreement protocol, two users can authenticate each other and establish a session key with the aid of a trusted server. In this way, each user only needs to remember a password with the server, which eliminates the key management problems.…”

Section: Introductionmentioning

confidence: 99%

“…To handle this issue, many three-party chaotic maps-based key agreement protocols without smart cards have been developed. [27][28][29][30] These protocols made use of the server's public key to achieve strong security. However, employing the server's public key is a burden to the users, because they have to store the public key and verify it in advance.…”

Section: Introductionmentioning

confidence: 99%

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An efficient three-party password-based key agreement protocol using extended chaotic maps

Shu¹

2015

Chinese Phys. B

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Three-party password-based key agreement protocols allow two users to authenticate each other via a public channel and establish a session key with the aid of a trusted server. Recently, Farash et al. [Farash M S, Attari M A 2014 "An efficient and provably secure three-party password-based authenticated key exchange protocol based on Chebyshev chaotic maps", Nonlinear Dynamics 77(7): 399-411] proposed a three-party key agreement protocol by using the extended chaotic maps. They claimed that their protocol could achieve strong security. In the present paper, we analyze Farash et al.'s protocol and point out that this protocol is vulnerable to off-line password guessing attack and suffers communication burden. To handle the issue, we propose an efficient three-party password-based key agreement protocol using extended chaotic maps, which uses neither symmetric cryptosystems nor the server's public key. Compared with the relevant schemes, our protocol provides better performance in terms of computation and communication. Therefore, it is suitable for practical applications.

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“…Elliptic curves are also used in many environments to implement authentication, such as multi-server environment [22], agriculture monitoring environment [23], IOT environments [24], [25], medical information system environment [26], cloud computing environment [27]. Compared with other lightweight authentication schemes, Chebyshev chaotic maps have higher level of efficiency and security [1], [6], [18], [20], [28].…”

Section: Introductionmentioning

confidence: 99%

A Secure Remote Mutual Authentication Scheme Based on Chaotic Map for Underwater Acoustic Networks

Zhang

Liu

2020

IEEE Access

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Underwater acoustic networks (UANs) have emerged as a new wireless sensor network structure widely used in many applications. Sensor nodes are usually placed in a hostile and unattended underwater environment to gather information with limited resource. Since the underwater information is sensitive and special, only authenticated users have rights to get the information. The existing secure resource-constrained authentication schemes are not inapplicable for underwater acoustic networks, so a lightweight authentication scheme is the primarily task in underwater acoustic networks. In this paper, we present a chaotic maps remote user authentication and key agreement scheme for underwater acoustic networks based on the DLP and DHP, in which only authenticated users have rights to obtain the information. The proposed scheme applies the lightweight cryptographic primitives, such as one-way hash function and chaotic maps to accomplish mutual authentication and key agreement for underwater acoustic networks. The security of the proposed scheme is certified by applying the BAN logic and Random Oracle Model. Security analysis shows that our proposed scheme is safe and can meet ten security requirements and seven security goals. Performance analysis shows that our proposed scheme is more efficient compared with other resource-constrained schemes.

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Provably secure three-party key agreement protocol using Chebyshev chaotic maps in the standard model

Cited by 22 publications

References 30 publications

A New V-Net Convolutional Neural Network Based on Four-Dimensional Hyperchaotic System for Medical Image Encryption

A New V-Net Convolutional Neural Network Based on Four-Dimensional Hyperchaotic System for Medical Image Encryption

An efficient three-party password-based key agreement protocol using extended chaotic maps

A Secure Remote Mutual Authentication Scheme Based on Chaotic Map for Underwater Acoustic Networks

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