PHISH-SAFE: URL features-based phishing detection system using machine learning

AK Jain, BB Gupta - Cyber Security: Proceedings of CSI 2015, 2018 - Springer
Today, phishing is one of the most serious cyber-security threat in which attackers steal
sensitive information such as personal identification number (PIN), credit card details, login …

Detection of phishing websites using an efficient feature-based machine learning framework

RS Rao, AR Pais - Neural Computing and applications, 2019 - Springer
Phishing is a cyber-attack which targets naive online users tricking into revealing sensitive
information such as username, password, social security number or credit card number etc …

A machine learning based approach for phishing detection using hyperlinks information

AK Jain, BB Gupta - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
This paper presents a novel approach that can detect phishing attack by analysing the
hyperlinks found in the HTML source code of the website. The proposed approach …

Optimization of URL-based phishing websites detection through genetic algorithms

MT Suleman, SM Awan - Automatic Control and Computer Sciences, 2019 - Springer
Website phishing is an online crime for obtaining secret information such as passwords,
account numbers, and credit card details. Attackers lure users through attractive hyperlinks …

CatchPhish: detection of phishing websites by inspecting URLs

RS Rao, T Vaishnavi, AR Pais - Journal of Ambient Intelligence and …, 2020 - Springer
There exists many anti-phishing techniques which use source code-based features and third
party services to detect the phishing sites. These techniques have some limitations and one …

Development of anti-phishing browser based on random forest and rule of extraction framework

MG HR, A MV - Cybersecurity, 2020 - Springer
Phishing is a technique under Social Engineering attacks which is most widely used to get
user sensitive information, such as login credentials and credit and debit card information …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

CCrFS: combine correlation features selection for detecting phishing websites using machine learning

J Moedjahedy, A Setyanto, FK Alarfaj, M Alreshoodi - Future Internet, 2022 - mdpi.com
Internet users are continually exposed to phishing as cybercrime in the 21st century. The
objective of phishing is to obtain sensitive information by deceiving a target and using the …

[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 …

[PDF][PDF] Phishing website detection based on supervised machine learning with wrapper features selection

W Ali - International Journal of Advanced Computer Science …, 2017 - researchgate.net
The problem of Web phishing attacks has grown considerably in recent years and phishing
is considered as one of the most dangerous Web crimes, which may cause tremendous and …