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 …

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 …

[HTML][HTML] A predictive model for phishing detection

AA Orunsolu, AS Sodiya, AT Akinwale - Journal of King Saud University …, 2022 - Elsevier
Nowadays, many anti-phishing systems are being developed to identify phishing contents in
online communication systems. Despite the availability of myriads anti-phishing systems …

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 …

An intelligent classification model for phishing email detection

A Yasin, A Abuhasan - arXiv preprint arXiv:1608.02196, 2016 - arxiv.org
Phishing attacks are one of the trending cyber attacks that apply socially engineered
messages that are communicated to people from professional hackers aiming at fooling …

Obtaining the threat model for e-mail phishing

CK Olivo, AO Santin, LS Oliveira - Applied soft computing, 2013 - Elsevier
Phishing is a kind of embezzlement that uses social engineering in order to obtain personal
information from its victims, aiming to cause losses. In the technical literature only the hit rate …

Phishing detection: a case analysis on classifiers with rules using machine learning

F Thabtah, F Kamalov - Journal of Information & Knowledge …, 2017 - World Scientific
A typical predictive approach in data mining that produces If-Then knowledge for decision
making is rule-based classification. Rule-based classification includes a large number of …

Using feature selection and classification scheme for automating phishing email detection

IRA Hamid, J Abawajy, TH Kim - 2013 - figshare.utas.edu.au
Email has become the critical communication medium for most organizations. Unfortunately,
email-born attacks in computer networks are causing considerable economic losses …

An efficient approach for phishing detection using machine learning

E Gandotra, D Gupta - Multimedia security: algorithm development …, 2021 - Springer
The increasing number of phishing attacks is one of the major concerns of security
researchers today. The traditional tools for identifying phishing websites use signature …

A new hybrid ensemble feature selection framework for machine learning-based phishing detection system

KL Chiew, CL Tan, KS Wong, KSC Yong, WK Tiong - Information Sciences, 2019 - Elsevier
This paper proposes a new feature selection framework for machine learning-based
phishing detection system, called the Hybrid Ensemble Feature Selection (HEFS). In the first …