Double image encryption scheme for iris template protection using 3D Lorenz system and modified equal modulus decomposition in hybrid transform domain

Rakheja, Pankaj; Singh, Phool; Vig, Rekha; Kumar, Ravi

doi:10.1080/09500340.2020.1760384

Cited by 20 publications

(11 citation statements)

References 70 publications

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“…Barrero et al [7] proposed a shared substructure for various biometric template protection based on a homomorphic probabilistic transform approach that only manipulates changed data. An iris template based double image encryption technique was suggested by Rakheja et al [8]. In the frequency domain of the hybrid transform (HT), this technique used a 3D-Lorenz chaotic approach and modified equal modulus decomposition were utilised in this methodology.…”

Section: A Related Workmentioning

confidence: 99%

“…A comparative analysis against existing methods was performed to check the authenticity, accuracy, and originality of the presented biometric templates encryption technique for real-time applications. We have compared our presented technique with other existing techniques [8], [20], [27], [28], [34]. The type of data, applied process, transform domain, permutation and substitution methods, the number of keys, sensitivity to secret keys, keyspace, entropy, PSNR of the decrypted image, and attack analysis are among the parameters considered for comparison, as described in Table 12.…”

Section: Comparison With the Related Workmentioning

confidence: 99%

“…That is the main reason to develop a biometric template encryption technique to secure biometric data from attackers. Few authors have used watermarking techniques, data hiding techniques, and encryption techniques to provide security for biometric data [2]- [8].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, digital cryptosystem [9], [10], optical cryptosystem [11], [12] or a combination of both have been extensively used for encryption of digital biometric templates. Authors have used different transform domains such as hybrid transform [8], Fourier transform [13], [14], wavelet transform [15], [16], Arnold transform [17], and chaotic maps [18], [19] for encryption.…”

Section: Introductionmentioning

confidence: 99%

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6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates

et al. 2021

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A new algorithm for biometric templates using a 6D-chaotic system, and 2D fractional discrete cosine transform (FrDCT) is proposed in this paper. In this technique, the k biometric templates are represented into three groups. After representation, these three groups are converted into row vectors and scrambled by using keys generated by the 6D-chaotic system and after that, these row vectors are combined into three matrices. The three matrices are then mixed horizontally and divided into two halves, with the left half serving as the real part and the right half serving as the imaginary part of a complex-valued matrix (CVM). This CVM is further subjected to 2D FrDCT. The output of 2D FrDCT is separated into three parts. The robustness of the technique is further enhanced by substitution operation using keys generated by the 6D-chaotic system. Thus, the final encrypted template is obtained. The analysis like security, statistical, and attacks are given to authenticate the reliability of the proposed technique. The experimental values also show that the proposed technique is resistant to brute force attacks.INDEX TERMS Biometric template encryption, decryption, 2D fractional discrete cosine transform, 6D-chaotic system.

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Section: A Related Workmentioning

confidence: 99%

Section: Comparison With the Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates

et al. 2021

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“…To improve the security of the DRPE Scheme, Sharma et al [16] adopted the 3-D Lorenz system in the Fourier domain. Many other encryption schemes using chaotic maps in different ways to make more secure encryption schemes are discussed in [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Chaotic Clifford Attacker Map-based Image Encryption in Double Random Phase Encoding

Kalra

Siwach²,

Redhu³

et al. 2022

CJAST

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Encryption is the most useful technique used for the security of data during storage and transmission. A well-known encryption scheme called Double Random Phase encoding was introduced by Refregier and Javidi. But due to its linear nature, this scheme has been proven vulnerable against Known plaintext and chosen plaintext attacks. Here in this paper, we propose a chaotic map-based nonlinear encryption scheme that enhances the security of the DRPE encryption scheme for images. Clifford attacker is a non-linear chaotic map that has four parameters and two initial values. This map is highly sensitive to these values. Therefore, these parameters and initial values work as extra secret keys. MATLAB simulation shows that the proposed technique enhances the security level of the DRPE and at the same time has a better immunity to noise and occlusion attacks.

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Image Cryptosystem for Different Kinds of Image by Using Improved Arnold Map

Chen

Cao

Liu

et al. 2023

Studies in Computational Intelligence

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Double image encryption scheme for iris template protection using 3D Lorenz system and modified equal modulus decomposition in hybrid transform domain

Cited by 20 publications

References 70 publications

6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates

6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates

A Chaotic Clifford Attacker Map-based Image Encryption in Double Random Phase Encoding

Image Cryptosystem for Different Kinds of Image by Using Improved Arnold Map

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