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 …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Spam SMS filtering based on text features and supervised machine learning techniques

MA Abid, S Ullah, MA Siddique, MF Mushtaq… - Multimedia Tools and …, 2022 - Springer
The advancement in technology made a significant mark with time, which affects every field
of life like medicine, music, office, traveling, and communication. Telephone lines are used …

Content-based and knowledge-enriched representations for classification across modalities: a survey

N Pittaras, G Giannakopoulos, P Stamatopoulos… - ACM Computing …, 2023 - dl.acm.org
This survey documents representation approaches for classification across different
modalities, from purely content-based methods to techniques utilizing external sources of …

Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language

MA Mohammed, DA Ibrahim… - Journal of Intelligent …, 2021 - degruyter.com
Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to
corporate bodies or individuals to cause harm. Even though such mails are often used for …

A framework for semantic web services discovery

J Pathak, N Koul, D Caragea, VG Honavar - Proceedings of the 7th …, 2005 - dl.acm.org
This paper describes a framework for ontology-based flexible discovery of Semantic Web
services. The proposed approach relies on user-supplied, context-specific mappings from …

Implementing an agent-based multi-natural language anti-spam model

MA Mohammed, SS Gunasekaran… - … symposium on agent …, 2018 - ieeexplore.ieee.org
The spam is a negative practice of illegitimate use to the email services through unsolicited
email such as phishing for scam practices which affects the email reliability. Spam problems …

An anti-spam detection model for emails of multi-natural language

MA Mohammed, SA Mostafa, OI Obaid… - Journal of Southwest …, 2019 - jsju.org
The spam is one of the illegal and negative practices that involves the use of email services
to send unsolicited emails such as phishing for the purpose of scamming which influences …

[PDF][PDF] Efficient support vector machines for spam detection: a survey

ZS Torabi, MH Nadimi-Shahraki… - International Journal of …, 2015 - academia.edu
Nowadays, the increase volume of spam has been annoying for the internet users. Spam is
commonly defined as unsolicited email messages, and the goal of spam detection is to …

Using adaboost and stochastic gradient descent (sgd) algorithms with R and orange software for filtering e-mail spam

HT Elshoush, EA Dinar - 2019 11th computer science and …, 2019 - ieeexplore.ieee.org
With the increasing usage of electronic emails, the ratio of spam is increasing day by day.
Thus, spam emails have become a major threat that lowers the usage of electronic emails as …