A Novel Security Architecture for Biometric Templates Using Visual Cryptography and Chaotic Image Encryption

James, Divya; Philip, Mintu

doi:10.1007/978-3-642-32112-2_29

Cited by 5 publications

(4 citation statements)

References 14 publications

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“…Numerous template protection methods are presented in the research alongside with the goal of safeguarding noninvariability, revocability; and non-link ability lacking compromise on the credit performance. James, D et al, in [7] proposed secure method for biometric templates protection by employing a visual cryptography approach and a 3D chaotic map. The combinations of these techniques are used to provide most appropriate solution to privacy or protection.…”

Section: Introductionmentioning

confidence: 99%

Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Hashim¹

2021

IJC

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Biometric templates stored in a database introduce a number of security and privacy risks. The requirements for an architecture that does not suffer from these risks are needed. Therefore, the reference information that is stored in the database must not give sufficient information to make successful impersonation possible. Also, the reference information must be retrieved as little as possible about the original biometrics; in particular it reveals no sensitive information. The proposed system introduces a novel method for template protection and a verification using the merging techniques of chaotic shift keying (CSK) and secret image sharing (SIS). The proposed architecture assures a complete protection framework for the biometric templates, which involves two phases: the first phase is to protect the ID image; a watermark ID image that includes the personal information embedded in the template using a novel watermarking algorithm to generate two shares, and then it is utilized to verify the accuracy of the revealed template. The second phase is for template protection, where the generated shares are encoded separately using CSK and then one share is stored in the database and the other kept with the user. The experimental and comparative results demonstrate that the proposed framework retains the protection of the template and preserves robustness to malicious attacks, while it does not have a discernible effect on the quality of the template.

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Section: Introductionmentioning

confidence: 99%

Secure Verifiable Scheme for Biometric System based on Secret Sharing and CSK

Hashim¹

2021

IJC

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“…However, it was achieved by compromising the encryption time. A chaos based cryptography in [4] increased in the protection and privacy of the image using fast encryption algorithm. However, encryption time was not included.…”

Section: Introductionmentioning

confidence: 99%

Discrete Cosine Transformer Based Visual Secret Sharing With Chaos Visual Cryptography

Dayanand¹,

Selvakumar²

2015

IJMUE

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With the increasing threats on multimedia information sharing, degradation of security is one of the most important concerns. Visual Cryptography is an emerging field for improving the security level by encoding the secret video using encryption scheme and performs computational free decoding process. The secret sharing through visual cryptographic techniques for multiple stack users is not sufficient in providing high percentage result on video sharing domain. Video sharing did not develop source key properties for individual frames and as a result the quality estimation strategy on video frame was not achieved. Moreover, the target rate constraint for video quality under the encryption-decryption was not achieved. This encryption-decryption target key rate declines on arranging multiple sequences of frames from multiple stack users. To improve the quality of visual secret video sharing scheme, a Discrete Cosine Transform Chaos Cryptographic (DCTCC) mechanism is proposed in this paper. The main objective of DCTCC is to enhance the security level of different level video frame using the encryption key properties. Initially, sender takes the video of differing frame length and compresses the video on image using the Discrete Cosine Transformer. The Discrete Cosine Transformer based visual secret sharing of video in the image takes the luminance values and provides high lossless compression. Second, the embedded video frame is encrypted to perform the secret sharing (i.e., visual cryptographic) using the chaos method. The Chaos method uses the enhanced RSA key properties to improve the video quality estimation strategy. Chaos method in DCTCC works effectively with non-linear dynamic set of video frames from users and also with the discrete time dynamical video cryptographic system. On the decryption side, the chaos method is applied in the reverse procedural order to fetch the video quality of video frames from original image. Experiment is conducted on factors such as mean square error rate, and secret video sharing efficacy level and encryption time.

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“…Most chaotic encryption is simply chaotic system based on low-dimensional discrete chaotic iterative image scrambling [3]. This approach has a simple form, and encryption time is short.…”

Section: Introductionmentioning

confidence: 99%

“…This method has been widely used for image encryption [7][8]. The scrambled location of image pixel refers to change the position of pixels from original image so that an attacker is difficult to identify the original image so as to achieve the purpose of image encryption [3,9]. Chaotic system, due to its sensitive dependence on initial conditions, is very suitable for image encryption.…”

Section: Introductionmentioning

confidence: 99%