Machine learning for email spam filtering: review, approaches and open research problems

EG Dada, JS Bassi, H Chiroma, AO Adetunmbi… - Heliyon, 2019 - cell.com
The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

Applicability of machine learning in spam and phishing email filtering: review and approaches

T Gangavarapu, CD Jaidhar, B Chanduka - Artificial Intelligence Review, 2020 - Springer
With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

A systematic approach to multi-stage network attack analysis

J Dawkins, J Hale - Second IEEE International Information …, 2004 - ieeexplore.ieee.org
Network security analysis must coordinate diverse sources of information to support effective
security models. The modeling, process must capture security-relevant information about …

Tightening the net: A review of current and next generation spam filtering tools

J Carpinter, R Hunt - Computers & security, 2006 - Elsevier
This paper provides an overview of current and potential future spam filtering approaches.
We examine the problems spam introduces, what spam is and how we can measure it. The …

On feature extraction for spam e-mail detection

S Günal, S Ergin, MB Gülmezoğlu… - … , Classification and Security …, 2006 - Springer
Electronic mail is an important communication method for most computer users. Spam e-
mails however consume bandwidth resource, fill-up server storage and are also a waste of …

An Optimized Approach for Detection and Classification of Spam Email's Using Ensemble Methods

R Fatima, MMS Fareed, S Ullah, G Ahmad… - Wireless Personal …, 2024 - Springer
Since the advent of email services, spam emails have been a major concern because users'
security depends on the classification of emails as ham or spam. It'sa malware attack that …

Email spam filtering technique from various perspectives using machine learning algorithms

T Mehrotra, GK Rajput, M Verma, B Lakhani… - Data Driven Approach …, 2021 - Springer
The upsurge in the number of emails send for varying purposes and the dependency of life
on them in some way or the other, has given rise to the detection of fraud email and also to …

[PDF][PDF] Survey on Deep Learning Approaches for Detection of Email Security Threat.

MM Saeed, Z Al Aghbari - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Emailing is among the cheapest and most easily accessible platforms, and covers every
idea of the present century like banking, personal login database, academic information …

Genetic optimized artificial immune system in spam detection: a review and a model

RA Zitar, A Hamdan - Artificial Intelligence Review, 2013 - Springer
Spam is a serious universal problem which causes problems for almost all computer users.
This issue affects not only normal users of the internet, but also causes a big problem for …

Current and new developments in spam filtering

R Hunt, J Carpinter - 2006 14th IEEE International Conference …, 2006 - ieeexplore.ieee.org
This paper provides an overview of current and potential future spam filtering techniques.
We examine the problems spam introduces, what spam is and how we can measure it. The …