A data encryption model based on intertwining logistic map

Raghuvanshi, Kamlesh Kumar; Kumar, Subodh; Kumar, Sunil

doi:10.1016/j.jisa.2020.102622

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…In addition, data removal or erasure is another technique applied to protect data that had not been used for a long time. A number of these techniques are described in detail in [5][6][7][8][9][10][11][12]. Furthermore, in some cases, a combination of two methods is applied to the data system in order to strengthen the data protection procedure.…”

Section: Methodsmentioning

confidence: 99%

A Systematic Review on Image Data Protection Methods

Alyaqobi

2022

IJIIS Int. J. Informatics Inf. Syst.

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Securing data is the main goal of any data security system (DSS). Valuable data must be protected all the time and stored in a very and highly secure data storage device. This need has become more critical due to the continuous growth of data size. Furthermore, non-text data in the form of images, audios, and videos can now be transferred and processed easily and thus become part of sensitive data that need to be protected. Since there is a need to secure and protect data in any form in order to keep them private and valid, it is expected that there would be many attempts already that have been proposed in literature for this purpose. This paper reviews a group of these proposed strategies and methods that have been applied to different kinds of DSSs. Challenges and future trends of DSSs are also discussed. A number of main findings are grouped and organized as follows: (1) there are many different kinds of security techniques, each of which offers varying degrees of performance in terms of the amount of data and information that can be managed securely, (2) depending on the architecture of the proposed method, the tactics or strategies of the security system, the kinds of DSSs, as well as a few other factors, some methods are more appropriate for the storage of certain categories of data than others.

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Section: Methodsmentioning

confidence: 99%

A Systematic Review on Image Data Protection Methods

Alyaqobi

2022

IJIIS Int. J. Informatics Inf. Syst.

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“…In order to ensure the secure storage and transmission of information in cloud computing, big data, and other new fields, there is an urgent need to research and design new cryptographic technology and theory. In recent years, chaotic cryptography, as a new encryption technology, has attracted the attention of researchers in various fields at home and abroad [ 2 , 3 , 4 ]. The two major research directions of chaotic cryptography are stream ciphers and block cipher systems based on chaos theory, and chaos synchronization-centered secure communication systems.…”

Section: Introductionmentioning

confidence: 99%

Joint Encryption Model Based on a Randomized Autoencoder Neural Network and Coupled Chaos Mapping

Hu,

Gong,

Guo

2023

Entropy

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Following an in-depth analysis of one-dimensional chaos, a randomized selective autoencoder neural network (AENN), and coupled chaotic mapping are proposed to address the short period and low complexity of one-dimensional chaos. An improved method is proposed for synchronizing keys during the transmission of one-time pad encryption, which can greatly reduce the usage of channel resources. Then, a joint encryption model based on randomized AENN and a new chaotic coupling mapping is proposed. The performance analysis concludes that the encryption model possesses a huge key space and high sensitivity, and achieves the effect of one-time pad encryption. Experimental results show that this model is a high-security joint encryption model that saves secure channel resources and has the ability to resist common attacks, such as exhaustive attacks, selective plaintext attacks, and statistical attacks.

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“…A logistic map is de ned as a chaotic map represents by a non-linear di erential equation with a discrete timestep obtained by iteration map function (Ausloos, 2006) . It is initially developed to predict population growth (Kendall and Fox, 1998;Lloyd, 1995) and has been used widely in the ecological model (Storch et al, 2017) , cryptography (Moysis et al, 2020) , data encryption (Huang andDing, 2020;Moysis et al, 2020;Raghuvanshi et al, 2020). The application of a logistic map in the study of COVID-19 can be found in past studies (Mora et al, 2020;Koltsova et al, 2020;Pelinovsky et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Chaos Theory of 0-1 Test and Logistic Map in New Confirmed COVID-19 Cases

Yusof

Sapini

Az’hari³

et al. 2022

Sci.Technol.Indones

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This study aims to forecast the new number of positive cases of COVID-19 using the logistic map, where the presence of chaos is determined using the 0-1 Test. There are a small number of investigations on chaos utilizing the 0-1 Test and logistic map in the literature. This study provides a straightforward technique of forecasting and a current way of determining chaos. Information on new confirmed COVID-19 cases and population of ten countries involving China, Vietnam, Korea, Malaysia, Singapore, New Zealand, India, USA, Brazil, and Mexico for six months from January 20 to June 15, 2020, are selected as samples. The logistic map runs through three stages: data training, forecasting, and validation using the Mean Absolute Error method (MAE). The data training procedure is critical for determining the best growth rate, r, for the logistic map. In chaotic investigations of the 0-1 Test, there appears to be an inverse expectation toward a logistic map. The 0-1 Test in the data of new confirmed COVID-19 cases in all the selected countries reveals the presence of non-chaotic. This contrasts with the existence of chaos in the logistic map forecasts for the USA, Brazil, and Mexico. Regardless, the logistic map was found to be capable of forecasting new COVID-19 positive cases with low error instances. Beginning in the middle of May 2020, new COVID-19 positive cases are forecasted to be on the rise in the USA, Brazil, and Mexico.

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A data encryption model based on intertwining logistic map

Cited by 7 publications

References 30 publications

A Systematic Review on Image Data Protection Methods

A Systematic Review on Image Data Protection Methods

Joint Encryption Model Based on a Randomized Autoencoder Neural Network and Coupled Chaos Mapping

Chaos Theory of 0-1 Test and Logistic Map in New Confirmed COVID-19 Cases

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