A Quantum Chaotic Image Cryptosystem and Its Application in IoT Secure Communication

Wen, Heping; Zhang, Chongfu; Chen, Ping; Chen, Ruiting; Xu, Jiajun; Liao, Yunlong; Liang, Zhonghao; Shen, Danze; Zhou, Limengnan; Ke, Juxin

doi:10.1109/access.2021.3054952

Cited by 36 publications

(32 citation statements)

References 44 publications

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“…The effectiveness of the proposed ECSH multilevel authentication protocol is compared with the existing methods, RLT, 43 UAKMP, 44 and SDN-based data transfer security model, middlebox-Guard (M-GILP), 37 TBRL, 50 quantum chaotic image cryptosystem, 51 and identity based OOSC. 12 RLT 43 : In this method, the global trust calculation is done using the multisource feedback mechanism, and a reliable trust mechanism protects against bad-mouthing attacks.…”

Section: Competing Methodsmentioning

confidence: 99%

“…The drawback is, it achieved less energy consumption by using a single receiver. Wen et al 51 devised a secure transmission of a digital image over an IoT network. In this, the image cryptosystem named quantum chaotic image cryptosystem is used for secure transmission by employing the chaotic map.…”

Section: Literature Surveymentioning

confidence: 99%

“…The TBRL is used for the secure underwater sensor communication. 51 : This is devised for the secure transmission of the digital image over the IoT network. The quantum chaotic image cryptosystem is used for the prevention of cryptographic attacks.…”

Section: M-gilpmentioning

confidence: 99%

See 2 more Smart Citations

Multilevel authentication protocol for enabling secure communication in Internet of Things

Singh

2021

Concurrency and Computation

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The Internet of Things (IoT) is the domain of interest for researchers with exponential growth in technology. This article develops an authentication protocol based on the Chebyshev polynomial, hashing function, session password, and encryption. The proposed authentication protocol is named as proposed Elliptic, Chebyshev, Session password, and Hash function (ECSH)-based multilevel authentication. For authenticating the incoming user, there are two phases, registration and authentication. In the registration phase, the user is registered with the server and authentication center (AC), and the authentication follows, which is an eight-step criterion. The authentication is duly based on the scale factor of the user and server, session password, and verification messages. The authentication at the eight levels assures the security against various types of attacks and renders secure communication in IoT with minimal communication overhead and packet loss. The performance is analyzed using black-hole, and denial-of-service (DOS) attacks with 50 and 100 nodes in the simulation environment. The proposed ECSH-based multilevel authentication acquired the maximal detection rate, PDR, and QoS of 15.2%, 35.7895%, and 26.4623%, respectively, for 50 nodes with DOS attacks. By contrast, the minimal delay of 135.922 ms is acquired in the presence of 100 nodes and DOS attacks.

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Section: Competing Methodsmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

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Multilevel authentication protocol for enabling secure communication in Internet of Things

Singh

2021

Concurrency and Computation

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“…Different plain images and cipher images, as well as their relevant histograms, are shown in Figure 5. The experimental results show that the pixel values of the R, G and B channels of color cipher image are almost uniformly distributed, so the influence of statistical analysis is greatly eliminated [47,48].…”

Section: Histogram Analysismentioning

confidence: 99%

A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

Wen

Liao

et al. 2021

Entropy

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In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend. To this end, this paper proposes a security-enhanced image communication scheme based on cellular neural network (CNN) under cryptanalysis. First, the complex characteristics of CNN are used to create pseudorandom sequences for image encryption. Then, a plain image is sequentially confused, permuted and diffused to get the cipher image by these CNN-based sequences. Based on cryptanalysis theory, a security-enhanced algorithm structure and relevant steps are detailed. Theoretical analysis and experimental results both demonstrate its safety performance. Moreover, the structure of image cipher can effectively resist various common attacks in cryptography. Therefore, the image communication scheme based on CNN proposed in this paper is a competitive security technology method.

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“…To deal with the problem, various methodologies are introduced to design different image ciphers. Among them, chaos-based image encryption is the most popular one, because chaos has characteristics of sensitivity to initial values, dense periodic points, and long-term unpredictability of orbits [3][4][5]. In the past two decades, chaotic image encryption technology has been widely discussed and has become a research hotspot [6].…”

Section: Introductionmentioning

confidence: 99%

Security Analysis of a Color Image Encryption Algorithm Using a Fractional-Order Chaos

Wen

Zhang

Huang

et al. 2021

Entropy

Self Cite

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Fractional-order chaos has complex dynamic behavior characteristics, so its application in secure communication has attracted much attention. Compared with the design of fractional-order chaos-based cipher, there are fewer researches on security analysis. This paper conducts a comprehensive security analysis of a color image encryption algorithm using a fractional-order hyperchaotic system (CIEA-FOHS). Experimental simulation based on excellent numerical statistical results supported that CIEA-FOHS is cryptographically secure. Yet, from the perspective of cryptanalysis, this paper found that CIEA-FOHS can be broken by a chosen-plaintext attack method owing to its some inherent security defects. Firstly, the diffusion part can be eliminated by choosing some special images with all the same pixel values. Secondly, the permutation-only part can be deciphered by some chosen plain images and the corresponding cipher images. Finally, using the equivalent diffusion and permutation keys obtained in the previous two steps, the original plain image can be recovered from a target cipher image. Theoretical analysis and experimental simulations show that the attack method is both effective and efficient. To enhance the security, some suggestions for improvement are given. The reported results would help the designers of chaotic cryptography pay more attention to the gap of complex chaotic system and secure cryptosystem.

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A Quantum Chaotic Image Cryptosystem and Its Application in IoT Secure Communication

Cited by 36 publications

References 44 publications

Multilevel authentication protocol for enabling secure communication in Internet of Things

Multilevel authentication protocol for enabling secure communication in Internet of Things

A Security-Enhanced Image Communication Scheme Using Cellular Neural Network

Security Analysis of a Color Image Encryption Algorithm Using a Fractional-Order Chaos

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