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206401

Development Machine Learning Techniques to Enhance Cyber Security Algorithms.

Article

Last updated: 22 Jan 2023

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Subjects

-

Tags

Electronics and Communications Engineering

Abstract

Nowadays, Cyber security threats are a growing global problem. As technology evolves, cyber threats, including cyber-hacking threats, and cybercrime organizing groups, are on the rise. Distributed Denial of Service (DDoS) is one of the most serious attacks faced by Cloud computing. This attack aims to make cloud services unavailable to end-users by exhausting system resources, resulting in heavy losses that pose a threat to national security and information security assets, and thus making the development of defensive solutions against such attacks necessary to expand the use of Cloud computing technology. Machine learning (ML) has promising results in detecting cyber-attacks including DDoS when applied to intrusion detection systems. In this research, the proposed system was built using Random forest (RF) is supervised machine learning algorithm, which is an ensemble learning method that operates by constructing a multitude of decision trees at training time. The experiments conducted using the most common and standard data sets, NSL-KDD, and CICIDS 2017, achieved a detection accuracy of up to 99.09% for the first dataset and 99.97% for the second dataset respectively. The proposed system performs well when compared to other methods in terms of accuracy, detection rate, and low false-positive rate.

DOI

10.21608/bfemu.2021.206401

Keywords

Cloud Computing, DDoS attacks, Machine Learning, Random Forest, and Weka

Authors

First Name

Ghada

Last Name

Mohamed Amer

MiddleName

-

Affiliation

Communications Engineer at North Delta Electricity Distribution Company, Faculty of Engineering, Mansoura University.

Email

g.a.amer@outlook.com

City

Mansoura

Orcid

-

First Name

Ehab

Last Name

Abd El Hay

MiddleName

Hany

Affiliation

Assistant Prof., Faculty of Engineering, Mansoura University.

Email

ehababdelhay@mans.edu.eg

City

Mansoura

Orcid

-

First Name

Ibrahim

Last Name

Abdel-Baset

MiddleName

Yasser

Affiliation

Assistant Lecturer, Nile Higher Institute for Engineering and Technology. Faculty of Engineering, Mansoura University.

Email

ibrahim_yasser@mans.edu.eg

City

Mansoura

Orcid

-

First Name

Mohamed

Last Name

Abd El Azim Mohamed

MiddleName

-

Affiliation

chief, Dean of the College and Chairman of the Board of Directors, Faculty of Engineering, Mansoura University.

Email

mazim12@mans.edu.eg

City

-

Orcid

0000-0003-1899-3621

Volume

46

Article Issue

4

Related Issue

28611

Issue Date

2021-12-01

Receive Date

2021-06-29

Publish Date

2021-11-26

Page Start

36

Page End

46

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 46_Issue 4_Pages 36-46.pdf

PDF . 1.4MB

Link

https://bfemu.journals.ekb.eg/article_206401.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=206401

Order

21

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023