SoK: a comprehensive reexamination of phishing research from the security perspective

A Das, S Baki, A El Aassal, R Verma… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

Systematization of knowledge (sok): A systematic review of software-based web phishing detection

Z Dou, I Khalil, A Khreishah… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Phishing is a form of cyber attack that leverages social engineering approaches and other
sophisticated techniques to harvest personal information from users of websites. The …

Malicious URL detection using machine learning: A survey

D Sahoo, C Liu, SCH Hoi - arXiv preprint arXiv:1701.07179, 2017 - arxiv.org
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection

SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …

[HTML][HTML] A pipeline and comparative study of 12 machine learning models for text classification

A Occhipinti, L Rogers, C Angione - Expert Systems with Applications, 2022 - Elsevier
Text-based communication is highly favoured as a communication mean, especially in
business environments. As a result, it is often abused by sending malicious messages, eg …

An in-depth benchmarking and evaluation of phishing detection research for security needs

A El Aassal, S Baki, A Das, RM Verma - Ieee Access, 2020 - ieeexplore.ieee.org
We perform an in-depth, systematic benchmarking study and evaluation of phishing features
on diverse and extensive datasets. We propose a new taxonomy of features based on the …

DTOF-ANN: an artificial neural network phishing detection model based on decision tree and optimal features

E Zhu, Y Ju, Z Chen, F Liu, X Fang - Applied Soft Computing, 2020 - Elsevier
Recently, phishing emerges as one of the biggest threats to human's daily networking
environments. Phishing attackers disguise illegal URLs as normal ones to steal user's …

Applying spark based machine learning model on streaming big data for health status prediction

LR Nair, SD Shetty, SD Shetty - Computers & Electrical Engineering, 2018 - Elsevier
Abstract Machine learning is one of the driving forces of science and commerce, but the
proliferation of Big Data demands paradigm shifts from traditional methods in the application …

Know your phish: Novel techniques for detecting phishing sites and their targets

S Marchal, K Saari, N Singh… - 2016 IEEE 36th …, 2016 - ieeexplore.ieee.org
Phishing is a major problem on the Web. Despite the significant attention it has received
over the years, there has been no definitive solution. While the state-of-the-art solutions …

A new Internet of Things architecture for real-time prediction of various diseases using machine learning on big data environment

A Ed-daoudy, K Maalmi - Journal of Big Data, 2019 - Springer
A number of technologies enabled by Internet of Thing (IoT) have been used for the
prevention of various chronic diseases, continuous and real-time tracking system is a …