Biometric Template Security Triggered by Two Dimensional Logistic Sine Map

Rajendran, Sujarani; Doraipandian, Manivannan

doi:10.1016/j.procs.2018.10.387

Cited by 9 publications

(2 citation statements)

References 21 publications

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“…S. Rajendran et al [14] suggested a nonlinear chaos-based cryptosystem approach to protect biometric templates stored in system databases. In their approach, a 2D Logistic Sine Map was used by joining the 2D Logistic map and 1D sine map to generate large dimension chaotic keys based on the confusion and diffusion stages of the encryption.…”

Section: Overview Of Related Workmentioning

confidence: 99%

Cancelable Multimodal Biometrics Based on Chaotic Maps

et al. 2021

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Biometric authentication systems raise certain concerns with regard to security, violation of privacy, and storage issues of biometric templates. This paper proposes a protection approach of biometric templates storage in a multimodal biometric system while ensuring both the cancelability of biometric templates and the efficiency of the authentication process. We propose applying a chaotic maps-based transform on the biometric features to address the cancelability issue. We used Logistic map and Torus Automorphism to generate cancelable biometric features of the face and fingerprint minutia points, respectively. Both transformed features would be concatenated and saved in the database of the system instead of the original features. In the authentication stage, the similarity scores of both transformed face and fingerprint templates are computed and fused using the weighted sum rule. The results of the experimentation, conducted using images from the ORL face and FVC2002 DB1 fingerprint databases, demonstrated the higher performance of the proposed approach achieving a genuine accept rate equal to 100%. Moreover, the obtained results confirmed the soundness of the proposed cancelable technique to satisfy the biometric systems’ requirements (i.e., security, revocability, and diversity).

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Section: Overview Of Related Workmentioning

confidence: 99%

Cancelable Multimodal Biometrics Based on Chaotic Maps

et al. 2021

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“…The pixel of encrypted image is randomly distributed using histogram analysis [9]. It reveals the graphical depiction of pixel allocation in cipher image.…”

Section: A Histogram Studymentioning

confidence: 99%

Elliptic Curve Blended Cross Chaos Based Secure Image Communication

Rajendran*¹,

Abilashaa²,

Doraipandian³

2019

IJRTE

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Image encryption has proven a successful method to communicate the confidential information. Some of the images may or may not be confidential. So there is a need to secure the confidential images. Initially, symmetric encryption is used for security purpose. But it has the problem that if the key is revealed the interceptors can immediately decode it. To make the key transformation more secure, asymmetric encryption is introduced. In this two different keys are used for encoding and decoding. So even the interceptors hacked the key it cannot be possible to decode. In this project Elliptic Curve Cryptography (ECC) is utilized for generating the keys and the cross chaotic map used for generating the chaotic sequence. These chaotic sequences are utilized to encode the image for secure communication.

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Construction of Two Dimensional Cubic-Tent-Sine Map for Secure Image Transmission

Rajendran

Doraipandian

2019

Applications and Techniques in Information Security

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Biometric Template Security Triggered by Two Dimensional Logistic Sine Map

Cited by 9 publications

References 21 publications

Cancelable Multimodal Biometrics Based on Chaotic Maps

Cancelable Multimodal Biometrics Based on Chaotic Maps

Elliptic Curve Blended Cross Chaos Based Secure Image Communication

Construction of Two Dimensional Cubic-Tent-Sine Map for Secure Image Transmission

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