Face-features key generation using diffiehellman key exchange for enhanced security mechanism

Other Title(s)

توليد مفتاح التبادل لخوارزمية ديفي هلمان باستخدام ميزات الوجه لتحسين آلية الأمان

Dissertant

al-Tahhan, Ala Adnan

Thesis advisor

al-Kabnah, Khalid Abd al-Hafiz

University

Amman Arab University

Faculty

Collage of Computer Sciences and Informatics

Department

Department of Computer Science

University Country

Jordan

Degree

Master

Degree Date

2018

English Abstract

Data security is very important in our daily lives.

In this world, our daily activities are dependent on the Internet, so the data needs to be protected, especially those data that are transferred and stored through insecure channels.

Where data is protected by individuals through long and complex passwords, and can be subject to serious attacks by attackers.

Recently, the back of science helps to protect data from serious security attacks by third parties and is biometric science: which measures the physical and behavioral characteristics of individuals.

To replace traditional methods of data protection with individual biological features.

In this study, we used the unique features of individual faces, especially the distance between the eyes, to generate a secret key shared by the parties by Diffie-Hellman algorithm to improve the security of data transfer.

This study, to solve the problem of transferring data through unsafe channels, by taking the value of the distance between the eyes of individuals, to generate a secret key canot penetrate easily by the attackers.

Using the unique dynamic features of a person's face with Diffie-Hellman algorithm helps trap the attackers, believing that they got the data, they only got a valueless key.

The distance between the eyes achieved high security rates of 95% compared to the unique biological features used by researchers such as the distance between the right eye and nose, which reaches 82%, the distance between the left eye and the mouth, which reaches 75% and the distance between the mouth and the center of the face Which amounts to 64%.

Main Subjects

Information Technology and Computer Science

Topics

• Data protection
• Algorithms
• Data

No. of Pages

57

Table of Contents

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-931855