A novel 1D chaotic system for image encryption, authentication and compression in cloud

Li, Hengjian; Yu, Changzhi; Wang, Xiyu

doi:10.1007/s11042-020-10117-y

Cited by 26 publications

(10 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Reference 13 merged to the logistic tent sine chaotic map (LTSS), and it is recommended for its better chaotic behaviors and larger confused ranges rather than simple form of one-dimensional (1D) confusing map, such as a logistic chaotic map. Followed by this, the LTSS chaotic structure is leveraged for image protection mechanism in the cloud that consists of three parts, namely cloud services, data user, and data owner.…”

Section: Literature Reviewmentioning

confidence: 99%

Mayfly optimization with chaos-based image encryption technique for cloud computing environment

Justin

Karuppusamy

2022

J. Electron. Imag.

View full text Add to dashboard Cite

.Cloud computing (CC) technologies become popular due to their characteristics of maximum availability, flexibility, and scalability. Despite the benefits of CC, security becomes a major challenging issue that can be resolved by the use of image encryption techniques. Numerous works have been carried out with several approaches, and effective models need to be designed to enhance secure image encryption algorithms. Recently, chaotic approaches have been available in various domains, such as design of cryptosystems and image encryption. Chaos-based methods utilize random chaos sequences for image encryption, which are highly secure and fast. In this view, this study introduces a unique mayfly optimization with chaos-based image encryption (MFO-CBIE) technique for CC environment. The major intention of the MFO-CBIE model is to accomplish security in the CC environment via encryption and key generation process. The proposed MFO-CBIE model follows a three-stage process, namely image encryption, optimal key generation, and image decryption. In addition, the MFO-CBIE model employs the MFO algorithm for the optimal key generation process of the chaos-based encryption technique. Once the images are encrypted, they are securely transmitted to the cloud server. On the receiver side, the cipher image gets accessed from the cloud server, and then the decryption process is carried out. The experimental evaluation of the MFO-CBIE model is tested using benchmark images, and the results ensured the promising performance of the MFO-CBIE model over recent approaches.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Mayfly optimization with chaos-based image encryption technique for cloud computing environment

Justin

Karuppusamy

2022

J. Electron. Imag.

View full text Add to dashboard Cite

show abstract

“…2. Permutation coordinate A(m, n) of matrix A(i, j) is calculated as follows: m = (Z(i, j) + Sum row (i))modM n = (W(i, j) + Sum col (j))modN (28) 3. If the calculation is m = i or n = j, the permutation position coordinates of the element are recalculated according to…”

Section: Plaintext-related Scramblingmentioning

confidence: 99%

“…To solve this problem, some researchers use chaotic mapping to design measurement matrices [25][26][27][28][29]. The initial values and parameters of the chaotic maps are used as keys, which greatly reduces the required storage space.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

Sun

Wang

Zhao

2021

Entropy

View full text Add to dashboard Cite

Digital images can be large in size and contain sensitive information that needs protection. Compression using compressed sensing performs well, but the measurement matrix directly affects the signal compression and reconstruction performance. The good cryptographic characteristics of chaotic systems mean that using one to construct the measurement matrix has obvious advantages. However, existing low-dimensional chaotic systems have low complexity and generate sequences with poor randomness. Hence, a new six-dimensional non-degenerate discrete hyperchaotic system with six positive Lyapunov exponents is proposed in this paper. Using this chaotic system to design the measurement matrix can improve the performance of image compression and reconstruction. Because image encryption using compressed sensing cannot resist known- and chosen-plaintext attacks, the chaotic system proposed in this paper is introduced into the compressed sensing encryption framework. A scrambling algorithm and two-way diffusion algorithm for the plaintext are used to encrypt the measured value matrix. The security of the encryption system is further improved by generating the SHA-256 value of the original image to calculate the initial conditions of the chaotic map. A simulation and performance analysis shows that the proposed image compression-encryption scheme has high compression and reconstruction performance and the ability to resist known- and chosen-plaintext attacks.

show abstract

“…Second, 5 paths involve CLOUD's evolution to AUTHENTICATION. Users should first conduct identity authentication for cloud data users and then obtain the required services from the Cloud [140]. And in 2020, the research on authentication has expanded to multiple aspects such as mutual authentication [89], authentication scheme [141] and fog computing [142].…”

Section: ) Cloudmentioning

confidence: 99%

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Luo

Bai

2021

IEEE Access

View full text Add to dashboard Cite

As one of the disruptive technologies in the fourth industrial revolution, Blockchain has irrevocably changed how people live and work. Many scholars have studied the Blockchain, and the number of related publications has increased over time. Bibliometrics is an excellent method to study the development trend of a specific field. However, few scholars have used bibliometrics to research Blockchain; the inheritance and evolution among its different research themes have not yet been fully understood. This study emphasizes the scientific evolution and research focus of Blockchain through bibliometric analysis. We analyzed 2993 publications from 2014 to 2020 using co-word analysis and cluster analysis with bibliometric tools such as the SciMAT. The most productive author, country, institutions and leading research areas were identified, outlining the Blockchain field's fundamental developments. The results show the changes in keywords regarding Blockchain summarize the research hotspots in different periods. The study discusses the evolution process of various themes in each period, providing a meaningful reference for scholars to identify research hotspots and future research directions in the Blockchain field.

show abstract

A novel 1D chaotic system for image encryption, authentication and compression in cloud

Cited by 26 publications

References 50 publications

Mayfly optimization with chaos-based image encryption technique for cloud computing environment

Mayfly optimization with chaos-based image encryption technique for cloud computing environment

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

Bibliometric Analysis of the Blockchain Scientific Evolution: 2014–2020

Contact Info

Product

Resources

About