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 …

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 …

[PDF][PDF] Phishing websites detection using machine learning

R Kiruthiga, D Akila - International Journal of Recent Technology …, 2019 - researchgate.net
Phishing is a common attack on credulous people by making them to disclose their unique
information using counterfeit websites. The objective of phishing website URLs is to purloin …

A stacking model using URL and HTML features for phishing webpage detection

Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …

Classifying phishing URLs using recurrent neural networks

AC Bahnsen, EC Bohorquez, S Villegas… - … on electronic crime …, 2017 - ieeexplore.ieee.org
As the technical skills and costs associated with the deployment of phishing attacks
decrease, we are witnessing an unprecedented level of scams that push the need for better …

Towards benchmark datasets for machine learning based website phishing detection: An experimental study

A Hannousse, S Yahiouche - Engineering Applications of Artificial …, 2021 - Elsevier
The increasing popularity of the Internet led to a substantial growth of e-commerce.
However, such activities have main security challenges primary caused by cyberfraud and …

PhishStorm: Detecting phishing with streaming analytics

S Marchal, J François, R State… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Despite the growth of prevention techniques, phishing remains an important threat since the
principal countermeasures in use are still based on reactive URL blacklisting. This …

[HTML][HTML] Phishing websites detection using a novel multipurpose dataset and web technologies features

M Sánchez-Paniagua, E Fidalgo, E Alegre… - Expert Systems with …, 2022 - Elsevier
Phishing attacks are one of the most challenging social engineering cyberattacks due to the
large amount of entities involved in online transactions and services. In these attacks …

A novel machine learning approach to detect phishing websites

I Tyagi, J Shad, S Sharma, S Gaur… - 2018 5th International …, 2018 - ieeexplore.ieee.org
Phishing can be described as a way by which someone may try to steal some personal and
important information like login id's, passwords, and details of credit/debit cards, for wrong …

A multi-level framework to identify HTTPS services

WM Shbair, T Cholez, J Francois… - NOMS 2016-2016 IEEE …, 2016 - ieeexplore.ieee.org
The development of TLS-based encrypted traffic comes with new challenges related to the
management and security analysis of encrypted traffic. There is an essential need for new …