The answer is in the text: Multi-stage methods for phishing detection based on feature engineering

ES Gualberto, RT De Sousa, TPDB Vieira… - IEEE …, 2020 - ieeexplore.ieee.org
A phishing attack is a threat based on fraudulent communication, usually by e-mail, where
the cybercriminals, impersonating a trusted person or organization, try to lure and coax a …

From feature engineering and topics models to enhanced prediction rates in phishing detection

ES Gualberto, RT De Sousa, PDB Thiago… - Ieee …, 2020 - ieeexplore.ieee.org
Phishing is a type of fraud attempt in which the attacker, usually by e-mail, pretends to be a
trusted person or entity in order to obtain sensitive information from a target. Most recent …

Phishing email detection using natural language processing techniques: a literature survey

S Salloum, T Gaber, S Vadera, K Shaalan - Procedia Computer Science, 2021 - Elsevier
Phishing is the most prevalent method of cybercrime that convinces people to provide
sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant …

An overview of machine learning algorithms for detecting phishing attacks on electronic messaging services

A Kovač, I Dunđer, S Seljan - 2022 45th Jubilee International …, 2022 - ieeexplore.ieee.org
Phishing attacks have become today one of the most common security breaches performed
on different communication channels. Their goal is to direct users to malicious websites or to …

A comparison of natural language processing and machine learning methods for phishing email detection

P Bountakas, K Koutroumpouchos… - Proceedings of the 16th …, 2021 - dl.acm.org
Phishing is the most-used malicious attempt in which attackers, commonly via emails,
impersonate trusted persons or entities to obtain private information from a victim. Even …

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 …

Machine learning and nature inspired based phishing detection: a literature survey

AA Akinyelu - International Journal on Artificial Intelligence Tools, 2019 - World Scientific
Phishing detection remains one of the most challenging problems currently faced by cyber
users as sophisticated phishing schemes evolves rapidly. This paper presents a …

[PDF][PDF] Detection of E-mail phishing attacks–using machine learning and deep learning

D Rathee, S Mann - International Journal of Computer Applications, 2022 - academia.edu
Phishing is the most prominent cyber-crime that uses camouflaged e-mail as a weapon. In
simple words, it is defined as the strategy adopted by fraudsters in-order-to get private …

Phishing attacks detection using machine learning and deep learning models

M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …

A hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …