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64449

Malicious Website Detection using Machine Learning on Apache Spark

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Last updated: 25 Dec 2024

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Abstract

Malicious websites considered as critical threats to the users' systems that access these websites as hackers use these websites to steal users' personal information or account information or even harms the users' systems. Many solutions have been developed to detect and prevent these malicious websites, but these solutions are not fully effective as these websites are changed continuously. This paper evaluates various classification algorithms to predict malicious and non- malicious web sites, based on various feature selection scenarios. Reasonable results are reached with 100% accuracy, recall, and precision when applying Logistic Regression and Decision Tree algorithms while 95% when applying Naïve Bayes algorithm with good timing.

DOI

10.21608/mjeer.2019.64449

Authors

First Name

Aml

Last Name

Emad El-Din

MiddleName

-

Affiliation

Department of Computer Science and Engineering Menoufia University Menoufia, Egypt

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First Name

Ezz El-Din

Last Name

Hemdan

MiddleName

-

Affiliation

Department of Computer Science and Engineering Menoufia University Menoufia, Egypt

Email

-

City

-

Orcid

-

First Name

Ayman

Last Name

El-Sayed

MiddleName

-

Affiliation

Department of Computer Science and Engineering Menoufia University Menoufia, Egypt

Email

ayman.elsayed@el-eng.menofia.edu.eg

City

Menouf

Orcid

0000-0002-4437-259X

Volume

28

Article Issue

ICEEM2019-Special Issue

Related Issue

9704

Issue Date

2019-12-01

Receive Date

2019-12-09

Publish Date

2019-12-01

Page Start

337

Page End

342

Print ISSN

1687-1189

Online ISSN

2682-3535

Link

https://mjeer.journals.ekb.eg/article_64449.html

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https://mjeer.journals.ekb.eg/service?article_code=64449

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11

Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

Malicious Website Detection using Machine Learning on Apache Spark

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Article

Created At

22 Jan 2023