Toward new family beta maps for chaotic image encryption

Rim, Zahmoul; Zaied, Mourad

doi:10.1109/smc.2016.7844867

Cited by 11 publications

(5 citation statements)

References 26 publications

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“…Recently, chaotic map approaches have been used in different ways in image encryption algorithms and related to security applications. Zahmoul et al [26] proposed the beta map for the first time using the formula…”

Section: Fractional Beta Chaotic (Fbc) Mapsmentioning

confidence: 99%

“…Zig Zag diffusion and RNA generated a Hyper-Chaotic Color Image Encryption transformed Operation which is given by Jiao et al [25]. Finally, Arnold map and RSA algorithm are used by Zahmoul et al [26]. Beta function is utilized in various types of applications in image processing and engineering, especially in bio-medical signal and image compression, image detection [27][28][29][30][31][32][33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

Ibrahim¹,

Natiq²,

Alkhayyat³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

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In this study, a new algorithm of fractional beta chaotic maps is proposed to generate chaotic sequences for image encryption. The proposed technique generates multi random sequences by shuffling the image pixel position. This technique is used to blur the pixels connecting the input and encrypted images and to increase the attack resistance. The proposed algorithm makes the encryption process sophisticated by using fractional chaotic maps, which hold the properties of pseudo-randomness. The fractional beta sequences are utilized to alter the image pixels to decryption attacks. The experimental results proved that the proposed image encryption algorithm successfully encrypted and decrypted the images with the same keys. The output findings indicate that our proposed algorithm has good entropy and low correlation coefficients. This translates to enhanced security against different attacks. A MATLAB programming tool was used to implement and assess the image quality measures. A comparison with other image encryption techniques regarding the visual inspection and signal-to-noise ratio is provided.

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Section: Fractional Beta Chaotic (Fbc) Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

Ibrahim¹,

Natiq²,

Alkhayyat³

et al. 2022

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

show abstract

“…In 2018, Kaur and Kumar [46] proposed an encryption method based on beta chaotic map [47], nonsubsampled contourlet transform (NSCT) [48], and genetic algorithm. According to the proposed method, first, the NSCT is used to divide the original image into sub bands.…”

Section: Review On Computational Intelligence Based Image Encryptionmentioning

confidence: 99%

Survey on computational intelligence based image encryption techniques

Ramanathan

Hossen

Sayeed

et al. 2020

IJEECS

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Image encryption is an important area in visual cryptography that helps in protecting images when shared through internet. There is lot of cryptography algorithms applied for many years in encrypting images. In the recent years, artificial intelligence techniques are combined with cryptography algorithms to support image encryption. Some of the benefits that artificial intelligence techniques can provide are prediction of possible attacks on cryptosystem using machine learning algorithms, generation of cryptographic keys using optimization algorithms, etc. Computational intelligence algorithms are popular in enhancing security for image encryption. The main computational intelligence algorithms used in image encryption are neural network, fuzzy logic and genetic algorithm. In this paper, a review is done on computational intelligence-based image encryption methods that have been proposed in the recent years and the comparison is made on those methods based on their performance on image encryption.

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“…The experimental results proved the security and suitability of the scheme for image encryption. Rim Zahmoul and Mourad Zaied in 2016 [10] produced new chaotic maps based on beta function were created. The generation of different pseudo-random sequence was carried out to shuffle the position of the image pixels and to confuse the relationship between the encrypted image and the original image, thereby significantly increasing the resistance to attacks.…”

Section: Issn: 0067-2904mentioning

confidence: 99%

A new Color image Encryption based on multi Chaotic Maps

Taqi

Hameed

2018

ijs

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This paper presents a new RGB image encryption scheme using multi chaotic maps. Encrypting an image is performed via chaotic maps to confirm the properties of secure cipher namely confusion and diffusion are satisfied. Also, the key sequence for encrypting an image is generated using a combination of 1D logistic and Sine chaotic maps. Experimental results and the compassion results indicate that the suggested scheme provides high security against several types of attack, large secret keyspace and highly sensitive.

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Toward new family beta maps for chaotic image encryption

Cited by 11 publications

References 26 publications

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

Survey on computational intelligence based image encryption techniques

A new Color image Encryption based on multi Chaotic Maps

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