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 …

Efficient spam and phishing emails filtering based on deep learning

S Magdy, Y Abouelseoud, M Mikhail - Computer Networks, 2022 - Elsevier
Nowadays, spam emails represent a severe threat to security and cause a big waste in
transmission time and users' time spent in browsing unsolicited bulk emails (UBE). This is in …

Artificial intelligence and machine learning in cybersecurity: Applications, challenges, and opportunities for mis academics

R Sen, G Heim, Q Zhu - … of the Association for Information Systems, 2022 - aisel.aisnet.org
The availability of massive amounts of data, fast computers, and superior machine learning
(ML) algorithms has spurred interest in artificial intelligence (AI). It is no surprise, then, that …

Spam detection using ensemble learning

V Gupta, A Mehta, A Goel, U Dixit… - Harmony Search and …, 2019 - Springer
In our daily life, we use email and SMS many times to communicate to each other, but due to
the increase of spam email and SMS, it becomes a headache for both the sender and …

Comparative analysis of detection of email spam with the aid of machine learning approaches

MV Madhavan, S Pande, P Umekar… - IOP conference …, 2021 - iopscience.iop.org
Over the past few decades, Technology has gained a rapid pace in its development making
communication easier. Considering several modes of communication, E-mails (Electronic …

Visualizing machine learning accuracy

M Bilenko, M Richardson - US Patent App. 12/973,916, 2012 - Google Patents
The claimed subject matter provides a method for visualizing machine learning accuracy.
The method includes receiving a plurality of training instances for the machine learning …

[PDF][PDF] Spam mail scanning using machine learning algorithm.

A Bibi, R Latif, S Khalid, W Ahmed, RA Shabir… - J. Comput., 2020 - jcomputers.us
Emails are used in professional and personal level as a way of communication. With the
passage of time emails are used for advertisement, spreading virus and fraud email for …

Detecting spam messages using the naive Bayes algorithm of basic machine learning

KR Khamdamovich, H Elshod - 2021 International Conference …, 2021 - ieeexplore.ieee.org
In this article, we consider the definition of spam messages using the naive Bayes algorithm
based on machine learning and study the algorithm of inclusion. A table has been compiled …

An Exploration of Machine Learning and Deep Learning Techniques for Offensive Text Detection in Social Media—A Systematic Review

G Sharma, GS Brar, P Singh, N Gupta, N Kalra… - … : Proceedings of ICICC …, 2022 - Springer
The increasing popularity of usage of social media platforms such as Facebook, Twitter, and
What's App has also given a potential to spread hatred or to cause harassment or …