Chaos-Based Cryptography: Text Encryption Using Image Algorithms

Lawnik, Marcin; Moysis, Lazaros; Volos, Christos

doi:10.3390/electronics11193156

Cited by 16 publications

(5 citation statements)

References 41 publications

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“…Recurrent connections, which enable the network to store and process data over time, characterize the reservoir layer. In the reservoir layer, the relationships between the nodes have fixed weights, which are typically initialized arbitrarily and stay the same during training (Lawnik et al, 2022). • Output layer: The output layer produces the desired outcome or forecast using the data gathered from the reservoir layer.…”

Section: ____________________________________________________________...mentioning

confidence: 99%

Enhancing reservoir computing for secure digital image encryption using finance model forecasting

Aoun,

Rehman,

Javed

2023

Nat. App. Sci. Int. J.

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New research is changing the face of financial forecasting by combining reservoir computing with digital image encryption at a time when data security is of the utmost importance. This groundbreaking study combines digital image encryption with reservoir computing to suggest a novel method for financial forecasting. This creative method uses a reservoir network to encrypt digital photos securely, increasing their resistance to attacks and demonstrating the power of reservoir computing, a well-known machine learning concept. This approach significantly improves financial time series data forecasting accuracy and reliability using hyper-clusteratic models. When reservoir computing and hyper-chaotic models are tightly integrated, outcome is improved financial decision-making. Empirical tests have validated the technology's effectiveness and efficiency, showcasing its potential practical applications in financial forecasting and image encryption. The study examines numerical simulations in a dynamic reservoir framework that demonstrate encryption and decryption powers of reservoir computing, demonstrating its ability to comprehend input signals and generate answers that are desired. Critical phases include assessing the approach's effectiveness using metrics for encryption quality, attack resilience, and computing efficiency. Preparing picture representations for processing is also crucial. It is necessary to train the readout layer to translate reservoir states to encrypted picture pixels differently.

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Section: ____________________________________________________________...mentioning

confidence: 99%

Enhancing reservoir computing for secure digital image encryption using finance model forecasting

Aoun,

Rehman,

Javed

2023

Nat. App. Sci. Int. J.

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“…The new chaotic method based on multiplicative inverse function is used to control the diffusion of block cipher by chaotic system, which enhances the performance of logistic map and has strong key sensitivity. In [39], authors revealed a text encryption method using image encryption algorithm. This method converts text to image information, and uses the existing image encryption algorithm to encrypt, providing a new train of thought.…”

Section: Plos Onementioning

confidence: 99%

A double encryption protection algorithm for stem cell bank privacy data based on improved AES and chaotic encryption technology

Wang,

Wei,

Zhang

et al. 2023

PLoS ONE

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The unique infinite self-renewal ability and multidirectional differentiation potential of stem cells provide a strong support for the clinical treatment. In light of the growing demands for stem cell storage, how to ensure personal privacy security and comply with strict ethical supervision requirements is particularly important. In order to solve the problem of low security of traditional encryption algorithm, we proposed a double encryption protection (DEP) algorithm for stem cell bank privacy data based on improved AES and chaotic encryption technology. Firstly, we presented the hash value key decomposition algorithm, through the hash value dynamic coding, cyclic shift, conversion calculation to get the key of each subsystem in the built algorithm. Secondly, DEP algorithm for privacy data is realized with two level of encryption. The first level of encryption protection algorithm used AES as the main framework, adding dynamic coding and byte filling based on DNA coding, and carries out dynamic shift of rows and simplified mixing of columns. The second level of encryption protection algorithm conducted random encoding, operation, diffusion and decoding based on the results of our proposed sequence conversion algorithm. Finally, we raised two evaluation indexes, the number of characters change rate (NCCR) and the unified average change intensity of text (UACIT) to measure the sensitivity of encryption algorithms to changes in plain information. The experimental results of using DEP shown that the average values of histogram variance, information entropy, NCCR and UACIT are116.7883, 7.6688, 32.52% and 99.67%, respectively. DEP algorithm has a large key space, high key sensitivity, and enables dynamic encryption of private data in stem cell bank. The encryption scheme provided in this study ensures the security of the private information of stem cell bank in private cloud environment, and also provides a new method for the encryption of similar high confidentiality data.

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“…Among them, the chaotic maps gradually become a hot research topic due to easy implementation, low cost and high complexity. In addition, they have broad application prospects in cryptography, [1,2] image encryption, [3,4] pseudorandom sequences generation, [5,6] secure communication [7,8] and other fields. [9][10][11] However, many existing chaotic maps still have limitations such as small keyspace, multiple periodic windows and weak ergodicity.…”

Section: Introductionmentioning

confidence: 99%

A novel variable-order fractional chaotic map and its dynamics

Tang 唐,

He 贺,

Wang 王

et al. 2024

Chinese Phys. B

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In recent years, fractional-order chaotic maps have been paid more attention in publications because of the memory effect. This paper presents a novel variable-order fractional sine map (VFSM) based on the discrete fractional calculus. Specially, the order is defined as an iterative function that incorporates the current state of the system. By analyzing phase diagrams, time sequences, bifurcations, Lyapunov exponents and fuzzy entropy complexity, the dynamics of the proposed map are investigated comparing with the constant-order fractional sine map. The results reveal that the variable order has a good effect on improving the chaotic performance, and it enlarges the range of available parameter values as well as reduce non-chaotic windows. Multiple coexisting attractors also enrich the dynamics of VFSM and prove its sensitivity to initial values. Moreover, the sequence generated by the proposed map passes the statistical test for pseudorandom number and shows strong robustness to parameter estimation, which proves the potential applications in the field of information security.

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Chaos-Based Cryptography: Text Encryption Using Image Algorithms

Cited by 16 publications

References 41 publications

Enhancing reservoir computing for secure digital image encryption using finance model forecasting

Enhancing reservoir computing for secure digital image encryption using finance model forecasting

A double encryption protection algorithm for stem cell bank privacy data based on improved AES and chaotic encryption technology

A novel variable-order fractional chaotic map and its dynamics

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