Biometric authentication of physical characteristics recognition using artificial neural network with PSO algorithm

Evangelin, L. Nisha; Fred, A. Lenin

doi:10.1504/ijcat.2017.10008703

Cited by 3 publications

(2 citation statements)

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“…Each particle is calculated, and the minimum value of all individual extreme values is the global extreme value [ 24 – 28 ]. When the global extreme value is less than the accuracy requirements of the forward neural network or reaches the maximum number of iterations, the cycle is ended, otherwise the iteration is continued.…”

Section: Forward Neural Network Model Based On Particle Swarm Optimizationmentioning

confidence: 99%

Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

Pan

2022

Computational Intelligence and Neuroscience

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The financial crisis of listed companies will bring huge losses to investors, so it is very important to establish a financial early warning model for investors and other stakeholders. The forward neural network model of particle swarm optimization is used to model and analyze the financial early warning of listed companies. In terms of data selection, earnings management indicators are substituted into the model for the common phenomenon of earnings management in listed companies. The results show that the accuracy of the model considering earnings management factors is improved from 65% to 70%. In the process of modeling, this paper uses the logistic regression model to further modify the model. The empirical results show that the accuracy of the model can be improved from 70% to 75%. When using the forward neural network model based on particle swarm optimization to make an empirical analysis of financial early warning of listed companies, adding quantitative indicators of earnings management can improve the accuracy of the model. In the demonstration, the correction of logistic regression model can also improve the accuracy of the particle swarm neural network financial early warning model. This greatly reduces the risk that companies with poor financial conditions will face bankruptcy and liquidation.

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Section: Forward Neural Network Model Based On Particle Swarm Optimizationmentioning

confidence: 99%

Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

Pan

2022

Computational Intelligence and Neuroscience

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“…Evangelin and Fred proposed a method using physical characteristics recognition [11], while Sun et al proposed an authentication method based on a hand gesture signature [29].…”

Section: B Related Workmentioning

confidence: 99%

Security analysis and psychological study of authentication methods with PIN codes

Bultel

Dreier

Giraud

et al. 2018

2018 12th International Conference on Research Challenges in Information Science (RCIS)

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Index Terms-security, authentication, pin code Abstract-Touch screens have become ubiquitous in the past few years, like for instance in smartphones and tablets. These devices are often the entry door to numerous information systems, hence having a secure and practical authentication mechanism is crucial. In this paper, we examine the complexity of different authentication methods specifically designed for such devices.We study the widely spread technology to authenticate a user using a Personal Identifier Number code (PIN code). Entering the code is a critical moment where there are several possibilities for an attacker to discover the secret. We consider the three attack models: a Bruteforce Attack (BA) model , a Smudge Attack (SA) model, and an Observation Attack (OA) model where the attacker sees the user logging in on his device. The aim of the intruder is to learn the secret code.Our goal is to propose alternative methods to enter a PIN code. We compare such different methods in terms of security. Some methods require more intentional resources than other, this is why we performed a psychological study on the different methods to evaluate the users' perception of the different methods and their usage.

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Research on UAV Conflict Resolution Algorithm Based on Improved Particle Swam Algorithm

Zhang

Dou

et al. 2018

2018 10th International Conference on Modelling, Identification and Control (ICMIC)

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Biometric authentication of physical characteristics recognition using artificial neural network with PSO algorithm

Cited by 3 publications

References 0 publications

Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

Design of Financial Management Model Using the Forward Neural Network Based on Particle Swarm Optimization Algorithm

Security analysis and psychological study of authentication methods with PIN codes

Research on UAV Conflict Resolution Algorithm Based on Improved Particle Swam Algorithm

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