Towards Better Performance for Protected Iris Biometric System with Confidence Matrix

Chai, Tong-Yuen; Goi, Bok‐Min; Yap, Wun‐She

doi:10.3390/sym13050910

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…Dataset EER (%) Bit cost [14] Casia-Iris-Interval 1.32 1536 [16] Casia-Iris-Interval 0.43 32768 [17] Casia-Iris-Interval 0.97 9600 [18] Casia-Iris-Interval 1.08 297000 standardR Casia-Iris-Interval 0.1695 1280…”

Section: Methodsmentioning

confidence: 99%

“…However, challenges persist, including the need for a secure LUT and reliance on four iris images per person, resulting in a total iris length of 9,600 bits. Furthermore, the proposed method does not achieve accuracy and efficiency while meeting the security requirements at the same time Meanwhile, another study [18] proposed a confidence matrix to enhance performance in iris datasets with noise masks, utilizing the IFO hashing method. Nevertheless, the methodology faces challenges linked to intra-user variability resulting from aging and fluctuating lighting conditions, potentially impacting accuracy within the Casia-Iris-Interval dataset.…”

Section: Related Workmentioning

confidence: 99%

“…However, the authors of [16] acknowledge the possibility of reversing the iris templates if an attacker gains access to the LUT table . Moving on to a study recommended in [17], which proposes partial sort and alignment-free techniques based on column-wise and LUT mapping for coding the extracted iris simultaneously, the suggested method [17] does not achieve accuracy and efficiency while meeting the security requirements at the same time. Furthermore, the research in [18] introduces a confidence matrix to enhance performance in iris datasets with noise masks, utilizing the index first one (IFO) approach. However, a pre-image attack conducted by [19] succeeded in breaking the IFO approach.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A standard ranking algorithm for robust iris template protection

Hameed Yassir,

Dziyauddin,

Kamaruddin

et al. 2024

IJEECS

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In iris biometric recognition systems, protecting the storage and transmission of iris templates is crucial, and template protection techniques are pivotal for ensuring their security. A prevalent approach involves using indexing methods as an effective algorithm for iris template protection, leveraging the index or rank of the extracted iris code to generate a secure iris template. Meantime, many privacy threats to biometric data have emerged, necessitating heightened protection measures. Specifically, protecting the privacy of iris data is imperative within the context of iris template protection during recognition processes. As stipulated by the international standard ISO/IEC 30136, effective iris template protection must concurrently meet the criteria of irreversibility, revocability, and unlinkability. Nevertheless, existing indexing methods on iris template protection faced the formidable challenge of simultaneously fulfilling these three privacy requirements while maintaining the efficacy of iris recognition. This paper introduces a standard ranking (standardR) algorithm, named standardR, designed to enhance the security of iris templates by transforming each iris template into an irreversible representation. The experimental results on the benchmarked Casia-Iris-interval dataset, along with two additional iris datasets MMU1 and UBRIS 1, demonstrate the efficacy of the proposed algorithm. The proposed standardR algorithm achieves an equal error rate (EER) of 0.1695% and an area under the curve of 0.93011% with the Casia-Iris-Interval dataset. Furthermore, the algorithm maintains efficient recognition with a reduced iris code length of 1280 bits, a time complexity of O(n log n), and satisfies the biometric template protection (BTP) requirements in irreversibility, unlinkability, and renewability.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A standard ranking algorithm for robust iris template protection

Hameed Yassir,

Dziyauddin,

Kamaruddin

et al. 2024

IJEECS

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“…In addition, [48] proposed protecting the transformed iris template by using ordinal ranking after XORed the userspecific string with the IrisCode string. Another proposal by [49] is to get better performance by enhancing Index First One www.ijacsa.thesai.org (IFO) hashing for iris templates. The binary confidence matrix considered the variation in noisy iris Biometric Template Protection (BTP) systems.…”

Section: Authentication-based Cancellable Biometrics Approachesmentioning

confidence: 99%

Current Multi-factor of Authentication: Approaches, Requirements, Attacks and Challenges

Mohammed¹,

Dziyauddin²,

Latiff³

2023

IJACSA

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Now-a-days, with the rapid and broad emergence of local or remote access to services on the internet. Authentication represents an important security control requirement and the MFA is recommended to mitigate the weaknesses in the SFA. MFA techniques can be classified into two main approaches: based biometric and non-biometric approaches. However, there is a problem to maintain the tradeoff between security and accuracy. The studies that have been reviewed on both authentication mechanisms are found contradictory in the direction of others. In the direction of authentication-based biometrics the researchers tended to increase the recognition accuracy, while in the other direction, the researchers proposed to combine many authentication factors to increase the security layers. The main contribution of this survey is to review and spotlight on the current state of the arts in both authentication mechanisms to achieve a secure user identity. This paper provides a review of authentication protocols and security requirements. In addition to a detailed review with a comparison of secure one-time passcode generation and distribution. Furthermore, a comprehensive review of cancelable biometrics techniques, attacks, and requirements. Finally, providing a summary of key challenges and future research directions.

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“…Technique (Year) Performance (EER %) Hyperelliptic Curve Cryptography (2020) [23] 2.5 Fully homomorphic encryption (2020) [15] 1.38 Local Ranking (2018) [24] 1.32 Modified Logistic Map (2018) [25] 1.17 randomized response technique (2018) [26] 1.03 Fully homomorphic encryption (2021) [27] 0.95 Double Random Phase Encoding (2018) [28] 0.63 Random Projection (2018) [29] 0.58 Binary Confidence Matrix (2021) [30] 0.51 Random Projection and Double Random Phase Encoding (2021) [31] 0.46 Salting Technique (2020) [11] 0.43 Comb Filtering (2020) [32] 0.38 Proposed iris recognition system 0.37…”

Section: Table I Comparison With the State-of-the-art Techniquesmentioning

confidence: 99%

Efficient Implementation of An Elliptic Curve Cryptosystem for Cancelable Biometrics

Asaker

Elsharkawy

Nassar

et al. 2022

Menoufia Journal of Electronic Engineering Research

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With the increasing demands for biometric systems in our daily life for automatic identification of individuals, recently iris recognition system has gained a lot of attention attributed to its reliability, uniqueness, difficulty to be imitated and high accuracy in comparison with other available biometric recognition systems. Unfortunately, templates in traditional iris recognition system are unprotected and vulnerable to various threats, such as attacks at the iris reader level or at the database level. Hence, there is a need for developing a system for securing the existing iris recognition system for keeping the original biometrics safe and secure. In this paper, we introduce a hybrid model for protecting iris recognition system through combining an elliptic curve cryptosystem with a new salting-based cancelable iris recognition scheme. The obtained experimental results on CASIA-IrisV3 database proved that the proposed system guarantees a high degree of security and privacy protection without affecting the accuracy.

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Towards Better Performance for Protected Iris Biometric System with Confidence Matrix

Cited by 11 publications

References 38 publications

A standard ranking algorithm for robust iris template protection

A standard ranking algorithm for robust iris template protection

Current Multi-factor of Authentication: Approaches, Requirements, Attacks and Challenges

Efficient Implementation of An Elliptic Curve Cryptosystem for Cancelable Biometrics

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