A systematic literature review on phishing email detection using natural language processing techniques

S Salloum, T Gaber, S Vadera, K Shaalan - IEEE Access, 2022 - ieeexplore.ieee.org
Every year, phishing results in losses of billions of dollars and is a major threat to the Internet
economy. Phishing attacks are now most often carried out by email. To better comprehend …

[PDF][PDF] A multilingual system for cyberbullying detection: Arabic content detection using machine learning

B Haidar, M Chamoun… - Advances in Science …, 2017 - researchgate.net
With the abundance of Internet and electronic devices bullying has moved its place from
schools and backyards into cyberspace; to be now known as Cyberbullying. Cyberbullying …

Multilingual cyberbullying detection system: Detecting cyberbullying in Arabic content

B Haidar, M Chamoun… - 2017 1st cyber security in …, 2017 - ieeexplore.ieee.org
In the era of Internet and electronic devices bullying shifted its place from schools and
backyards into the cyberspace; it is now known as Cyberbullying. Children of the Arab …

ArCAR: a novel deep learning computer-aided recognition for character-level Arabic text representation and recognition

AY Muaad, H Jayappa, MA Al-antari, S Lee - Algorithms, 2021 - mdpi.com
Arabic text classification is a process to simultaneously categorize the different contextual
Arabic contents into a proper category. In this paper, a novel deep learning Arabic text …

A lifelong spam emails classification model

RMA Mohammad - Applied Computing and Informatics, 2024 - emerald.com
Spam emails classification using data mining and machine learning approaches has enticed
the researchers' attention duo to its obvious positive impact in protecting internet users …

Cyberbullying detection: A survey on multilingual techniques

B Haidar, M Chamoun, F Yamout - 2016 European modelling …, 2016 - ieeexplore.ieee.org
Cyberbullying is the new form of bullying; executed by electronic media and Internet.
Cyberbullying is affecting a lot of children around the world including Arab countries …

Efficiency comparison of Python and RapidMiner

L Kovács, H Ghous - MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A …, 2020 - real.mtak.hu
Machine learning is an important technique that helps companies, institutes, and humans to
improve the quality of decision making. As there are many different free tools on the Internet …

[PDF][PDF] Classification scheme of unstructured text document using TF-IDF and naive bayes classifier

JY Yoo, D Yang - Advanced Science and Technology Letters, 2015 - scholar.archive.org
Recently due to large-scale data spread in digital economy, the era of big data is coming.
Through big data, unstructured text data consisting of technical text document, confidential …

[PDF][PDF] An Improved Multi-Class Classification Algorithm based on Association Classification Approach and its Application to Spam Emails.

RMA Mohammad - IAENG International Journal of Computer Science, 2020 - iaeng.org
In our everyday life, we may use email for personal and professional matters. Yet, email
benefits have been bedeviled with the remarkable use of annoying, harmful, and fraudulent …

[PDF][PDF] An analysis of various algorithms for text spam classification and clustering using RapidMiner and Weka

K Zainal, NF Sulaiman, MZ Jali - International Journal of …, 2015 - researchgate.net
This paper reported and summarized findings of spam management for Short Message
Service (SMS) which consists of classification and clustering of spam using two different …