A new image encryption algorithm based on the OF-LSTMS and chaotic sequences

He, Yi; Zhang, Ying-Qian; He, Xin; Wang, Xingyuan

doi:10.1038/s41598-021-85377-1

Cited by 30 publications

(21 citation statements)

References 46 publications

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“…The application of chaotic neural networks has been of interest to the research community in recent years [263,264]. Different types of neural networks including the Once Forward-Long Short-Term Memory Structure (OF-LSTMS) [265], Hopefield neural networks [266], and cellular neural networks [267] have been used in this area. Moreover different chaotic maps [267] and sequences [265] have been examined in research in this area.…”

Section: Chaotic Neural Network In Image Encryptionmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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Recently, many researchers have been interested in the application of chaos in cryptography. Specifically, numerous research works have been focusing on chaotic image encryption. A comprehensive survey can highlight existing trends and shed light on less-studied topics in the area of chaotic image encryption. In addition to such a survey, this paper studies the main challenges in this field, establishes an ecosystem for chaotic image encryption, and develops a future roadmap for further research in this area.

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Section: Chaotic Neural Network In Image Encryptionmentioning

confidence: 99%

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Zolfaghari

Koshiba

2022

ASI

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“…Yi He et al [17] created a new image cryptosystem using Once Forward Long Short Term Memory Structure named as OF-LSTMS and the 2D Coupled Map Lattice known as (2DCML) fractionalorder chaos system. The original image is separated into many blocks each of which is entered as a sub-pixel sequence into the OF-LSTMS.…”

Section: Wang Et Al [16]mentioning

confidence: 99%

Subject Review: Image Encryption Based on Multi Techniques

Essa¹,

Afraji²,

Chalob³

et al. 2021

IJERAT

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The enormous advancements in communication network, particularly the internet networks, that employed to allow numerous individuals to exchange various forms of data, Security of data has become a big issue. As a result, the usage of cipherment and decipherment ways is becoming more popular. Sundry cipherment means have been created to ensure data security, the chaos encryption system being one of the most widely employed in recent years. In this research, a review of diverse image cipherment algorithms have been reviewed, which researchers can gain insight into the most efficient techniques to employ.

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“…As one of the important media of information transmission in the era of big data, digital image has attracted widespread attention for its security during transmission 7 , 8 , so it is important to conduct encryption transmission for digital image. However, compared with text information, digital image information has the characteristics of high information redundancy, strong pixel correlation and discrete distribution of key information, etc 9 – 11 . Most text information security enhancement methods are not appropriate for digital image.…”

Section: Introductionmentioning

confidence: 99%

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

Wen

Liu

et al. 2022

Sci Rep

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With the arrival of the age of big data, the amount and types of data in the process of information transmission have increased significantly, and the full-disk encryption mode used by traditional encryption algorithms has certain limitations of the times. In order to further improve the bandwidth efficiency of digital images in the transmission process and the information effectiveness of digital image transmission, this paper proposes an algorithm of high-quality restoration image encryption using DCT frequency-domain compression coding and chaos. Firstly, the image hash value is used for the generation of an encryption key with plaintext correlation, then lightweight chaos is generated based on the key to obtain a pseudo-random sequence. Secondly, the image is partitioned into subblock, and converted from time domain into frequency domain by employing Discrete Cosine Transform (DCT) on each block, then perform quantization operation based on frequency domain information to obtain DCT coefficient matrix. Thirdly, the direct current (DC) coefficients and alternating current (AC) coefficients are extracted in the DCT coefficient matrix and compressed by different encoding methods to obtain two sets of bitstream containing DC coefficient and AC coefficient information. Fourthly, permute the DC coefficient bit stream by the chaotic sequence, and reconstruct it with the AC coefficient bit stream to obtain the frequency domain ciphertext image. Finally, the chaotic sequence is used to diffuse ciphertext, and the processed hash value is hidden in the ciphertext to obtain the final ciphertext. The theoretical and experimental analysis showed that the key length reaches 341 bits, and the PSNR value of the restored image is close to 60, all of which satisfy the theoretical value. Therefore, the algorithm has the characteristics of high compression rate, high-quality image restoration large key space, strong plaintext sensitivity, strong key sensitivity and so on. Our method proposed in this paper is expected to provide a new idea for confidential and secure communication in the age of big data.

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A new image encryption algorithm based on the OF-LSTMS and chaotic sequences

Cited by 30 publications

References 46 publications

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Chaotic Image Encryption: State-of-the-Art, Ecosystem, and Future Roadmap

Subject Review: Image Encryption Based on Multi Techniques

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

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