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

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 <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> biometric templates ar...

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Veröffentlicht in:	IEEE access Jg. 9; S. 103056 - 103074
Hauptverfasser:	Kumar, Dhanesh, Joshi, Anand B., Singh, Sonali, Mishra, Vishnu Narayan, Rosales, Hamurabi Gamboa, Zhou, Liang, Dhaka, Arvind, Nandal, Amita, Malik, Hasmat, Singh, Satyendra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	2D fractional discrete cosine transform 6D-chaotic system Algorithms Biometric template encryption Biometrics Biometrics (access control) Chaos theory decryption Discrete cosine transform Discrete cosine transforms Encryption Faces Iris recognition Mathematical analysis Matrix converters Watermarking
ISSN:	2169-3536, 2169-3536
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Abstract	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 <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> 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.
AbstractList	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 <tex-math notation="LaTeX">$k$ </tex-math> 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. 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 [Formula Omitted] 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. 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 <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> 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.
Author	Nandal, Amita Joshi, Anand B. Mishra, Vishnu Narayan Dhaka, Arvind Malik, Hasmat Singh, Sonali Zhou, Liang Rosales, Hamurabi Gamboa Singh, Satyendra Kumar, Dhanesh
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SubjectTerms	2D fractional discrete cosine transform 6D-chaotic system Algorithms Biometric template encryption Biometrics Biometrics (access control) Chaos theory decryption Discrete cosine transform Discrete cosine transforms Encryption Faces Iris recognition Mathematical analysis Matrix converters Watermarking
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Title	6D-Chaotic System and 2D Fractional Discrete Cosine Transform Based Encryption of Biometric Templates
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