A comprehensive survey for intelligent spam email detection

A Karim, S Azam, B Shanmugam, K Kannoorpatti… - Ieee …, 2019 - ieeexplore.ieee.org
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks

H Faris, AZ Ala'M, AA Heidari, I Aljarah, M Mafarja… - Information …, 2019 - Elsevier
With the incremental use of emails as an essential and popular communication mean over
the Internet, there comes a serious threat that impacts the Internet and the society. This …

From ants to whales: metaheuristics for all tastes

F Fausto, A Reyna-Orta, E Cuevas, ÁG Andrade… - Artificial Intelligence …, 2020 - Springer
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Extra-tree classifier with metaheuristics approach for email classification

A Sharaff, H Gupta - … and Computational Sciences: Proceedings of IC4S …, 2019 - Springer
It is very normal for any user to receive hundreds of emails every day. Almost 93% of them
are spam messages which include mainly advertisements from the industries like software …

Negative selection algorithm research and applications in the last decade: A review

KD Gupta, D Dasgupta - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
The negative selection algorithm (NSA) is one of the important methods in the field of
immunological computation (or artificial immune systems). Over the years, some progress …

A deep learning model for Twitter spam detection

Z Alom, B Carminati, E Ferrari - Online Social Networks and Media, 2020 - Elsevier
Social networking platforms have become a popular way for Internet surfers to meet and
interact. Twitter is one of the most popular social networking platforms where users can read …

Role of swarm and evolutionary algorithms for intrusion detection system: A survey

A Thakkar, R Lohiya - Swarm and evolutionary computation, 2020 - Elsevier
The growth of data and categories of attacks, demand the use of Intrusion Detection System
(IDS) effectively using Machine Learning (ML) and Deep Learning (DL) techniques. Apart …

Yin-Yang-pair Optimization: A novel lightweight optimization algorithm

V Punnathanam, P Kotecha - Engineering Applications of Artificial …, 2016 - Elsevier
In this work, a new metaheuristic, Yin-Yang-Pair Optimization (YYPO), is proposed which is
based on maintaining a balance between exploration and exploitation of the search space. It …

Email spam detection using integrated approach of Naïve Bayes and particle swarm optimization

K Agarwal, T Kumar - 2018 Second International Conference …, 2018 - ieeexplore.ieee.org
Now-a-days, communication through email has become one of the cheapest and easy ways
for the official and business users due to easy availability of internet access. Most of the …

TextNetTopics: text classification based word grouping as topics and topics' scoring

M Yousef, D Voskergian - Frontiers in Genetics, 2022 - frontiersin.org
Medical document classification is one of the active research problems and the most
challenging within the text classification domain. Medical datasets often contain massive …