An Efficient Image Encryption Algorithm for the Period of Arnold s CAT Map

Elmacı, Deniz; Catak, Nursin Bas

doi:10.18201/ijisae.2018637935

Cited by 5 publications

(5 citation statements)

References 10 publications

(11 reference statements)

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“…However, there is no correlation between the number of steps and the growth of n. The proposed approach was implemented on 512 × 512 pictures with a period of 384. According to [34] research, Arnold's Cat Map image encryption can be performed efficiently. n has no effect on raising the encryption's complexity.…”

Section: Discussionmentioning

confidence: 99%

Application of Arnold’s Cat Map and Bülban Map for Image Encryption in Chaotic Cryptography

Attanayake,

Yapage

2023

Preprint

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This study examines the use of chaos theory to image encryption by proposing a unique algorithm for image encryption based on two chaotic maps: Arnold’s CatMap and Bülban Map. The main objectives of this work areto propose an algorithm that encrypts images using chaotic maps efficiently and effectively and in addition, to comprehend the mathematical features of the two chaotic maps. The encryption algorithm was created using version 2017b of MATLAB. The effectiveness of the map was then calculating by evaluating the cross-correlation, vertical, horizontal, and diagonal correlations, entropy, PSNR, and elapsed encryption time of the encrypted image. Further, a key sensitivity investigation was conducted to determine the key’s force resistance. The correlation values that were significantly closer to 0 confirmed the effectiveness of the encryption algorithm for each image format. Higher entropy levelsand lower PSNR values indicate that the encryption algorithm is effective. In addition, the trial-and-error method was used to determine the parameter range in which the Bülban map will display chaotic features. Based on the findings obtained for encryption using the two maps independently and the suggested hybrid map, the optimal algorithm has been proposed. Utilizing both Arnold’s cat and Bülban maps with iteration number 170 for Arnold’s Cat Map increases the reliability of image encryption compared to using only one of them.

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Section: Discussionmentioning

confidence: 99%

Application of Arnold’s Cat Map and Bülban Map for Image Encryption in Chaotic Cryptography

Attanayake,

Yapage

2023

Preprint

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“…The encryption technique is implemented by a cat map iteration; after M iterations, there are T positive integers such that (Xn+1, Yn+1)=(Xn, Yn). The parameters A and B, in addition to the sample matrix size (N×N matrix), specify the time T [33,34].…”

Section: Arnold Cat Mapmentioning

confidence: 99%

Securing Medical Images Using Chaotic Map Encryption and LSB Steganography

Hussain,

Khodher

2024

RIA

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Secure image transfer is a difficult topic in the age of communication technology because millions of people utilize and share images online for personal and professional reasons. Encryption algorithms, such as cipher images, help achieve secure transfer through networks. Despite attackers having decryption keys, they cannot retrieve the original image. To ensure integrity assurance, prevent changes to medical images that could lead to a misdiagnosis, transmit patient medical records in a private and secure manner, and prevent falling victim to cyberattacks, a high-performance, effective method of encrypting medical images must be developed. Encrypting medical images is common in telemedicine, making secure image transfer essential. The medical dataset includes personal data about the health of a patient. All essential information, including medical images, is now kept on picture and communication servers because of the growing interest in inpatient records across the world. In this study, we presented a unique approach to medical picture encryption that combines the Triple data encryption algorithm (3DES) and advanced encryption standard (AES) methods with three chaotic maps (Logistic, Arnold CAT, and Baker). The BAT optimization algorithm is also used to accomplish the task of key generation. Finally, the Least Significant Bit (LBS) is used to hide encrypted medical images before sending them to the server by TCP/IP protocol. The experiments yielded promising results in entropy of 5.92, PSNR of 0.99, and MSE 0.0001.

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“…There has been several research on permutation [17], [18]. A study used the ACM which was combined with the Fibonacci series [17].…”

Section: Face Recognition Encryption Trendmentioning

confidence: 99%

“…There has been several research on permutation [17], [18]. A study used the ACM which was combined with the Fibonacci series [17]. It utilized ACM to randomize plain images and modify field diffusion during the period of usability.…”

Section: Face Recognition Encryption Trendmentioning

confidence: 99%

Confusion and Diffusion Techniques for Image Encryption Process Based on Chaos System

Magfirawaty Magfirawaty,

Ariska Allamanda,

Malika Ayunasari

et al. 2024

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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Face recognition uses biometric technologies to identify humans based on their facial characteristics. This method is commonly used to restrict information access control. The benefits of face recognition systems encompass their ease of use and security. The human face recognition process consists of face detection, face tracking, and face recognition. The process uses some algorithms: the Viola-Jones for face detection, the Kanade-Lucas-Tomasi (KLT) for face tracking, and the principal component analysis (PCA) for face recognition. Furthermore, this research proposed face recognition with an encryption process to protect the data stored in a database. The encryption process consists of two main processes: confusion and diffusion. The confusion process is randomizing the position of the original image pixels. This research utilized the Arnold’s cat map (ACM) for the confusion process, and the diffusion process was performed using the XOR operation with the key generated from the 1D chaos system. Three different 1D chaos systems, namely logistic map, Bernoulli map, and tent map, were compared to see which chaos system had the best encryption results. Tests were conducted by comparing various parameters on the three proposed 1D chaos systems, including correlation coefficient, histogram analysis, entropy value, number of pixel rate changes (NPCR), and unified average change intensity (UACI). Based on testing the image encryption results, the diffusion process utilizing the tent map produced the best image encryption compared to other chaotic systems.

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An Efficient Image Encryption Algorithm for the Period of Arnold s CAT Map

Cited by 5 publications

References 10 publications

Application of Arnold’s Cat Map and Bülban Map for Image Encryption in Chaotic Cryptography

Application of Arnold’s Cat Map and Bülban Map for Image Encryption in Chaotic Cryptography

Securing Medical Images Using Chaotic Map Encryption and LSB Steganography

Confusion and Diffusion Techniques for Image Encryption Process Based on Chaos System

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