Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography

Rajasekar, Vani; Premalatha, J.; Sathya, K.

doi:10.1155/2020/8841021

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…That database spans 150 fingers and includes 12 specimens per finger. The notations used in the proposed approach are false positives (FPs), true negatives (TNs), false negatives (FNs), and true positives (TPs) 26 .…”

Section: Resultsmentioning

confidence: 99%

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Rajasekar¹,

Predić

Saračević

et al. 2022

Sci Rep

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Biometric security is a major emerging concern in the field of data security. In recent years, research initiatives in the field of biometrics have grown at an exponential rate. The multimodal biometric technique with enhanced accuracy and recognition rate for smart cities is still a challenging issue. This paper proposes an enhanced multimodal biometric technique for a smart city that is based on score-level fusion. Specifically, the proposed approach provides a solution to the existing challenges by providing a multimodal fusion technique with an optimized fuzzy genetic algorithm providing enhanced performance. Experiments with different biometric environments reveal significant improvements over existing strategies. The result analysis shows that the proposed approach provides better performance in terms of the false acceptance rate, false rejection rate, equal error rate, precision, recall, and accuracy. The proposed scheme provides a higher accuracy rate of 99.88% and a lower equal error rate of 0.18%. The vital part of this approach is the inclusion of a fuzzy strategy with soft computing techniques known as an optimized fuzzy genetic algorithm.

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Section: Resultsmentioning

confidence: 99%

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Rajasekar¹,

Predić

Saračević

et al. 2022

Sci Rep

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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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“…Traditional routing involves unicast traffic that transfers the packet from one node to another node in the hop-by-hop network. ExOR technique defined by IEEE 802.15 as a unicast routing scheme to improve bit rates in wireless multi-site networks [12]. It is worth noting that coding procedures is not introduced by ExOR, but it still enhances system performance.…”

Section: Figure 1 Structure Of Wsnmentioning

confidence: 99%

Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data

Rajasekar

Jayapaul

Krishnamoorthi

et al. 2021

Wireless Pers Commun

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Due to the massive use of wireless Internet of Things (IoT), the advent of multimediabig-data (MBD) in recent decades poses numerous obstacles for successful contact with the virtual era. Mobile Adhoc Network-based IoT (MANETIoT) framework is increasingly common in this regard owing to its increased communication protocols and economic efficiency. MANET comprises arbitrary, battery-driven, roaming nodes that do not have an architecture that can handle the traffic and control the IoT network. In MANET-IoT, energy usage and traffic management for the handling of MBD information are significant issues. For rapid and precise response, it is essential to route or forward information like the locations of happenings and defected in a disaster. However, it is difficult to transfer this information to the Wireless Sensor Network in disaster areas because the current networks are a disaster that has been removed. In these situations, the transmission of opportunistic knowledge may play a vital role. Current opportunistic protocols need large messages for the restoration of the cluster that leads to more energy consumption and packet loss. To overcome these issues, this work proposes the reliable, energyefficient opportunistic protocol known as Density Clustering Opportunistic Routing Protocol (DCOR). This method sends information opportunistically in emergencies and disasters through a density-clustering protocol. Results from simulations demonstrate that the designed protocol exceeds several well-known current routing mechanisms for network energy usage and dissemination of information.

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Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography

Cited by 15 publications

References 21 publications

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm

Efficient Implementation of An Elliptic Curve Cryptosystem for Cancelable Biometrics

Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data

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