Hyperparameter optimization of ensemble models for spam email detection

TO Omotehinwa, DO Oyewola - Applied Sciences, 2023 - mdpi.com
Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats
to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in …

Hybrid water cycle optimization algorithm with simulated annealing for spam e-mail detection

G Al-Rawashdeh, R Mamat, NHB Abd Rahim - IEEE Access, 2019 - ieeexplore.ieee.org
Spam is defined as junk and unwanted e-mail. The implementation of a reliable spam email
filter becomes more and more important for e-mail users since they have to face with the …

Using social networks to detect malicious bangla text content

T Islam, S Latif, N Ahmed - 2019 1st International Conference …, 2019 - ieeexplore.ieee.org
Digital technology has accelerated social networking and brought revolutionary changes.
Twitter Facebook and YouTube are the most familiar platforms for social communication …

Enhancement of email spam detection using improved deep learning algorithms for cyber security

KV Samarthrao, VM Rohokale - Journal of Computer Security, 2022 - content.iospress.com
Email has sustained to be an essential part of our lives and as a means for better
communication on the internet. The challenge pertains to the spam emails residing a large …

The use of stemming in the Arabic text and its impact on the accuracy of classification

J Atwan, M Wedyan, Q Bsoul… - Scientific …, 2021 - Wiley Online Library
The ongoing growth in the vast amount of digital documents and other data in the Arabic
language available online has increased the need for classification methods that can deal …

A new feature selection in email spam detection by particle swarm optimization and fruit fly optimization algorithms

F Soleimanian Gharehchopogh… - Computer and Knowledge …, 2020 - cke.um.ac.ir
With the advent of the internet, along with email, and social networking, there are some new
issues that have caused vulnerability of users against attackers. Internet users face a lot of …

Spam mail detection various machine learning methods and their comparisons

HS Negi, A Bhatt, V Rawat - De Gruyter Series on the Applications of …, 2024 - degruyter.com
The application of machine learning techniques for spam mail detection is explored in this
chapter. Utilizing both the CountVectorizer and TF-IDF vectorizer techniques, five algorithms …

A collaborative and early detection of email spam using multitask learning

BJ Chelliah, A Sasidharan, DK Singh… - ECS Transactions, 2022 - iopscience.iop.org
Email spam has become a huge nuisance since the last couple of years. It not only wastes
valuable time but is also extremely dangerous as well. The various solutions that exist to …

[PDF][PDF] Email Spams via Text Mining using Machine Learning Techniques

T Verma, NS Gill - … Journal of Innovative Technology and Exploring …, 2020 - researchgate.net
A lot of data is generated on daily basis which may potentially be useful. This data is
generally unstructured and ambiguous to draw a meaning from it. High quality of information …

Collaborative and Early Detection of Email Spam using Multitask Learning

BJ Chelliah, A Sasidharan, DK Singh… - International Journal of …, 2021 - ijpe-online.com
Email spam has become a huge nuisance in the last couple of years. It not only wastes
valuable time, but is also extremely dangerous as well. The various solutions that exist to …