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Using Machine Learning Techniques for Predicting Email Spam

Article

Last updated: 04 Jan 2025

OverviewSimilar Items

Subjects

-

Tags

Computers and Education

Abstract

The email has become one of the most efficient and cost-effective methods of communication in recent years. However, as the number of email users grows, so does the number of spam emails. Email management has become a big and rising concern for both people and companies as a consequence of its sensitivity to abuse. Spam, or the unsolicited sending of unwanted email messages, is one example of misuse. Spam is defined as unsolicited bulk email, or email sent to a large number of people without their consent. Half of the users receive 10 or more spam emails each day, while some users receive hundreds of unwanted emails per day. Online spiders are used by many spammers to discover email addresses on web pages. Because spam emails can fill up the storage space of a file server quickly, they could cause a very severe problem for many websites with thousands of users for this in this study; we present a method for spam filtering using some machine learning techniques to predict whether an email is spam or no.

DOI

10.21608/ihites.2021.204000

Keywords

Machine Learning, Email Spam, Spam

Authors

First Name

Hager

Last Name

Mohey

MiddleName

-

Affiliation

Department of Information system, Computer science Faculty of Computer & information, Al-minia University - Minia, Egypt

Email

-

City

-

Orcid

-

First Name

Someya

Last Name

Mohsen

MiddleName

-

Affiliation

Department of Information system, Computer science Faculty of computer & information, Al-minia University - minia, Egypt

Email

-

City

-

Orcid

-

Volume

2

Article Issue

4

Related Issue

27946

Issue Date

2021-12-01

Receive Date

2021-11-10

Publish Date

2021-12-01

Page Start

19

Page End

23

Print ISSN

2682-3918

Online ISSN

2682-3926

Article File

IHITES_Volume 2_Issue 4_Pages 19-23.pdf

PDF . 723.6kB

Link

https://ijites.journals.ekb.eg/article_204000.html

Detail API

https://ijites.journals.ekb.eg/service?article_code=204000

Order

5

Type

Original Article

Type Code

1,128

Publication Type

Journal

Publication Title

International Journal of Instructional Technology and Educational Studies

Publication Link

https://ijites.journals.ekb.eg/

MainTitle

Using Machine Learning Techniques for Predicting Email Spam

Details

Type

Article

Created At

22 Jan 2023