User authentication based on statistical mouse dynamics biometrics

Other Title(s)

التحقق من هوية المستفيد على أساس القياسات الحيوية الإحصائية لفأرة الحاسوب

Dissertant

Abu Diyyah, Yusuf Abd al-Rahman Abd al-Aziz

Thesis advisor

al-Jarrah, Muzaffar

University

Middle East University

Faculty

Faculty of Information Technology

Department

Computer Science Department

University Country

Jordan

Degree

Master

Degree Date

2020

English Abstract

With the development of Information and Communication Technologies (ICT), our reliance on these technologies is increasing dramatically.

Huge amount of users’ data is generated, processed, and stored.

This massive data needs to be protected and kept secured from unauthorized.

In order to secure the data to sustain the system reliability, a system should meet three main security service: Confidentiality, Integrity, and Availability (CIA).

To achieve confidentiality, authentication is used as the first security layer before accessing information systems.

Authentication is the study of how to recognize the genuine user from others to protect the data from any unauthorized access.

Mainly, there are two types of authentication, the first one is traditional authentication which is divided into two types, knowledge-based authentication and object-based authentication (Further information will be explained later).

The second type is biometric authentication which is the process in which a user is recognized automatically based on a feature vector extracted from either his physiological or behavioral characteristics.

In this thesis the research will be done on Mouse Dynamics Biometric (MDB) which is one of the methods from the behavioral biometric authentication that studies the behaviors of a person when interacting with a Graphical User Interface (GUI) interface using a mouse as an input device.

The approach is evaluated on a dataset from 30 users.

Extensive experimental results are included to demonstrate the efficacy of the proposed model, which achieves a false-acceptance rate of 3.4%, and a false-rejection rate of 3% and Equal Error Rate (EER) of 3.22% which the average of the False Acceptance Rate and the False Rejection Rate.

Experiments are provided to compare the current approach with other approaches in the literature.

Main Topic

Information Technology and Computer Science

Topics

No. of Pages

127

Table of Contents

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background and theoretical review.

Chapter Three : Methodology and proposal modeling.

Chapter Four : Implementation and experimental results.

Chapter Five : Conclusion and future work.

References.

American Psychological Association (APA)

Abu Diyyah, Yusuf Abd al-Rahman Abd al-Aziz. (2020). User authentication based on statistical mouse dynamics biometrics. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-970878

Modern Language Association (MLA)

Abu Diyyah, Yusuf Abd al-Rahman Abd al-Aziz. User authentication based on statistical mouse dynamics biometrics. (Master's theses Theses and Dissertations Master). Middle East University. (2020).
https://search.emarefa.net/detail/BIM-970878

American Medical Association (AMA)

Abu Diyyah, Yusuf Abd al-Rahman Abd al-Aziz. (2020). User authentication based on statistical mouse dynamics biometrics. (Master's theses Theses and Dissertations Master). Middle East University, Jordan
https://search.emarefa.net/detail/BIM-970878

Language

English

Data Type

Arab Theses

Record ID

BIM-970878