User authentication using passowrd and hand gesture with leap motion sensor

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.

Detalhes bibliográficos
Principais autores:	Chowdhury, Mishkat Haider, Shadman, Qazi, Al Hasan, Sakib, Hassan, Md Adib
Outros Autores:	Uddin, Jia
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2020
Assuntos:	DTW(Dynamic Time Warping) Naive bayes classifier Leap motion sensor Password authentication Physiological biometrics Behavioral biometrics FRR(False Rejection Rate) FAR(False Acceptance Rate)
Acesso em linha:	http://hdl.handle.net/10361/14089

id	10361-14089
record_format	dspace
spelling	10361-140892022-01-26T10:21:45Z User authentication using passowrd and hand gesture with leap motion sensor Chowdhury, Mishkat Haider Shadman, Qazi Al Hasan, Sakib Hassan, Md Adib Uddin, Jia DTW(Dynamic Time Warping) Naive bayes classifier Leap motion sensor Password authentication Physiological biometrics Behavioral biometrics FRR(False Rejection Rate) FAR(False Acceptance Rate) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 41-42). User Authentication is becoming a significant factor in the field of modern technology. It is a process that permits a device to confirm the recognition of somebody who interfaces with a system asset. In the world of AI, machine learning is currently one of the leading research fields which is looking into practical implementation. In this report, we propose a method where the user will enter the given password while leap motion sensor will compare the behavioural data of the user with an existing dataset. Leap motion controller is a sensor or gadget which can recognize 3D movement of hands, fingers and finger like articles with no contact. Moreover we will be discussing the benefits of using behavioural biometrics instead of physiological biometrics for security, and how behavioural biometrics can solve the faults of physiological biometrics. In addition, we will be discussing the benefits of using leap motion sensor along with password authentication to properly identify an user and how it can improve security. For our project, we chose to use Dynamic Time Warping and Naive Bayes Classifier algorithm. DTW algorithm will be useful by comparing two frames which differ in time or velocity when one user have multiple behavioral entries before identifying user as valid or invalid. Naive Bayes will classify a user as valid or invalid through allowing classifiers to learn user data through features. The proposed system has about 91% accuracy which rises to 93% in the best-case scenario. We believe that because Leap Motion is comparatively low cost at the exchange of an extra layer of security it provides, the proposed system can ensure a secure and efficient environment for user authentication. Mishkat Haider Chowdhury Qazi Shadman Sakib Al Hasan Md Adib Hassan B. Computer Science 2020-11-28T03:59:59Z 2020-11-28T03:59:59Z 2020 Thesis ID 17201032 ID 16101194 ID 15301035 ID 16101324 http://hdl.handle.net/10361/14089 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 42 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	DTW(Dynamic Time Warping) Naive bayes classifier Leap motion sensor Password authentication Physiological biometrics Behavioral biometrics FRR(False Rejection Rate) FAR(False Acceptance Rate)
spellingShingle	DTW(Dynamic Time Warping) Naive bayes classifier Leap motion sensor Password authentication Physiological biometrics Behavioral biometrics FRR(False Rejection Rate) FAR(False Acceptance Rate) Chowdhury, Mishkat Haider Shadman, Qazi Al Hasan, Sakib Hassan, Md Adib User authentication using passowrd and hand gesture with leap motion sensor
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.
author2	Uddin, Jia
author_facet	Uddin, Jia Chowdhury, Mishkat Haider Shadman, Qazi Al Hasan, Sakib Hassan, Md Adib
format	Thesis
author	Chowdhury, Mishkat Haider Shadman, Qazi Al Hasan, Sakib Hassan, Md Adib
author_sort	Chowdhury, Mishkat Haider
title	User authentication using passowrd and hand gesture with leap motion sensor
title_short	User authentication using passowrd and hand gesture with leap motion sensor
title_full	User authentication using passowrd and hand gesture with leap motion sensor
title_fullStr	User authentication using passowrd and hand gesture with leap motion sensor
title_full_unstemmed	User authentication using passowrd and hand gesture with leap motion sensor
title_sort	user authentication using passowrd and hand gesture with leap motion sensor
publisher	Brac University
publishDate	2020
url	http://hdl.handle.net/10361/14089
work_keys_str_mv	AT chowdhurymishkathaider userauthenticationusingpassowrdandhandgesturewithleapmotionsensor AT shadmanqazi userauthenticationusingpassowrdandhandgesturewithleapmotionsensor AT alhasansakib userauthenticationusingpassowrdandhandgesturewithleapmotionsensor AT hassanmdadib userauthenticationusingpassowrdandhandgesturewithleapmotionsensor
_version_	1814309359257124864

User authentication using passowrd and hand gesture with leap motion sensor

Registros relacionados