A biometric-based system for cyber security

Technological advancements have made the world a better place and the world is becoming ever more reliant on these technologies. This dependence has come at a cost as the technologies that we use to make our lives convenient has also exposed us to the threats of cyberattacks. The rise in such activi...

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Bibliographic Details
Main Author: Su, Lin Khine
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/145085
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author Su, Lin Khine
author2 Mohammed Yakoob Siyal
author_facet Mohammed Yakoob Siyal
Su, Lin Khine
author_sort Su, Lin Khine
collection NTU
description Technological advancements have made the world a better place and the world is becoming ever more reliant on these technologies. This dependence has come at a cost as the technologies that we use to make our lives convenient has also exposed us to the threats of cyberattacks. The rise in such activities has made cybersecurity a necessary component in modern-day digital and communications technology. The goal of the project is to enhance cybersecurity by incorporating face recognition technology with traditional password authentication. This approach is called multi-factor authentication and it is adopted widely in various fields like banking, e-commerce, and social networking. The system for this project is developed using MATLAB MathWorks with the integration of MySQL database and the face recognition technology is implemented using machine learning algorithms like SVM and AlexNet deep learning. Verification of the system's performance is done by conducting set of experiments. The result of these experiments show AlexNet achieved the highest total accuracy of 93%.
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spelling ntu-10356/1450852023-07-07T17:43:18Z A biometric-based system for cyber security Su, Lin Khine Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems Technological advancements have made the world a better place and the world is becoming ever more reliant on these technologies. This dependence has come at a cost as the technologies that we use to make our lives convenient has also exposed us to the threats of cyberattacks. The rise in such activities has made cybersecurity a necessary component in modern-day digital and communications technology. The goal of the project is to enhance cybersecurity by incorporating face recognition technology with traditional password authentication. This approach is called multi-factor authentication and it is adopted widely in various fields like banking, e-commerce, and social networking. The system for this project is developed using MATLAB MathWorks with the integration of MySQL database and the face recognition technology is implemented using machine learning algorithms like SVM and AlexNet deep learning. Verification of the system's performance is done by conducting set of experiments. The result of these experiments show AlexNet achieved the highest total accuracy of 93%. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-12-10T05:46:22Z 2020-12-10T05:46:22Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/145085 en P3006-191 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Su, Lin Khine
A biometric-based system for cyber security
title A biometric-based system for cyber security
title_full A biometric-based system for cyber security
title_fullStr A biometric-based system for cyber security
title_full_unstemmed A biometric-based system for cyber security
title_short A biometric-based system for cyber security
title_sort biometric based system for cyber security
topic Engineering::Electrical and electronic engineering::Computer hardware, software and systems
url https://hdl.handle.net/10356/145085
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