A novel image encryption algorithm based on chaos and Line map

Zhou, Guomin; Zhang, Daxing; Liu, Yanjian; Yuan, Ying; Liu, Qiang

doi:10.1016/j.neucom.2014.11.095

Cited by 119 publications

(47 citation statements)

References 19 publications

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“…They use proxy-based additive homomorphism with reencryption to design these two schemes for Privacy-Preserving Trust Evaluation (PPTE) [34]. Zhou et al (2015) propose an encryption algorithm that focuses on image security. This algorithm is based on the Chaos stochastic process and the Line Map principle and is designed to ensure that if an image is encrypted, nothing will continue to be seen if an attempt is made to decrypt the key.…”

Section: Security Mechanisms Based Literature Reviewmentioning

confidence: 99%

“…This algorithm is based on the Chaos stochastic process and the Line Map principle and is designed to ensure that if an image is encrypted, nothing will continue to be seen if an attempt is made to decrypt the key. The disadvantage of this algorithm is that it can only be used for those images that have the same width and length, although the authors have carried out tests and reached the conclusion that it is a robust algorithm [35]. Hsu et al (2014) show us how to develop a protocol for the secure transfer of data and also propose a protocol for the transfer of a group key.…”

Section: Security Mechanisms Based Literature Reviewmentioning

confidence: 99%

“…The encryption mechanism is utilized specifically to make unauthorized access of the data impossible [43]. Additionally, the algorithm developed by Zhou et al (2015) can be used for the medical images, due to the fact that it often tends to be preferable not to split into fragments, as these medical images are deemed to be as valuable as written reports and hence need to be protected. The proposed efficient security mechanism ensures that only authorized persons are able to decrypt the images.…”

Section: Proposed Security Solutionmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals

Hamrioui

Díez

Garcia‐Zapirain

et al. 2017

Wireless Communications and Mobile Computing

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Computer security is something that brings to mind the greatest developers and companies who wish to protect their data. Major steps forward are being taken via advances made in the security of technology. The main purpose of this paper is to provide a view of different mechanisms and algorithms used to ensure big data security and to theoretically put forward an improvement in the health-based environment using a proposed model as reference. A search was conducted for information from scientific databases as Google Scholar, IEEE Xplore, Science Direct, Web of Science, and Scopus to find information related to security in big data. The search criteria used were "big data", "health", "cloud", and "security", with dates being confined to the period from 2008 to the present time. After analyzing the different solutions, two security alternatives are proposed combining different techniques analyzed in the state of the art, with a view to providing existing information on the big data over cloud with maximum security in different hospitals located in the province of Valladolid, Spain. New mechanisms and algorithms help to create a more secure environment, although it is necessary to continue developing new and better ones to make things increasingly difficult for cybercriminals.

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Section: Security Mechanisms Based Literature Reviewmentioning

confidence: 99%

Section: Security Mechanisms Based Literature Reviewmentioning

confidence: 99%

Section: Proposed Security Solutionmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review of Security Mechanisms for Big Data in Health and New Alternatives for Hospitals

Hamrioui

Díez

Garcia‐Zapirain

et al. 2017

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Image correlation has been eliminated by combining Arnold cat map with the logistic map.To improve the performance, the substitution process was applied to permutation phase by light weight bit level shuffling method. The performance of the proposed image encryption system was measured by the time complexity, statistical attack analysis, key space analysis, key sensitivity [33]. They had proposed symmetrical image encryption algorithm based on a skew tent map which can be applied on gray level and colour images.…”

Section: Literature Reviewmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

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Abstract:In this paper, we have proposed a chaos-based visual encryption method that can be applied to Ultra Sound Medical Images. We used adaptive Grey Wolf Optimization (GWO) to archive Ultra Sound Medical Image encryption. The robustness of the proposed image encryption are measured by various security attacks such as key sensitivity, histogram analysis, adjacent pixel autocorrelation, chi-square test, etc. Moreover, analytical outcomes are compared with the conventional algorithms like Genetic Algorithm (GA) and GWO. The experimental result shows that the proposed method is faster with low complexity.

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“…The paper by Zhou et al [17] addressed the problem how to ensure safety and ensure the authorization of accessing to confidential data authorization. They proposed a novel symmetrical image encryption algorithm based on skew tent map.…”

mentioning

confidence: 99%