Detection of phishing websites by using machine learning-based URL analysis

M Korkmaz, OK Sahingoz, B Diri - 2020 11th International …, 2020 - ieeexplore.ieee.org
In recent years, with the increasing use of mobile devices, there is a growing trend to move
almost all real-world operations to the cyberworld. Although this makes easy our daily lives …

[PDF][PDF] Phishing website detection: An improved accuracy through feature selection and ensemble learning

AA Ubing, SKB Jasmi, A Abdullah… - International Journal of …, 2019 - academia.edu
This research focuses on evaluating whether a website is legitimate or phishing. Our
research contributes to improving the accuracy of phishing website detection. Hence, a …

Feature selection approach for phishing detection based on machine learning

Y Wei, Y Sekiya - International Conference on Applied CyberSecurity, 2021 - Springer
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing
personally sensitive information. Phishing detection with high accuracy has attracted …

PDGAN: Phishing detection with generative adversarial networks

S Al-Ahmadi, A Alotaibi, O Alsaleh - Ieee Access, 2022 - ieeexplore.ieee.org
Phishing is a harmful online attack that could lead to identity theft and financial damages.
The demand for high-accuracy phishing detection tools has risen due to the increase of …

[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 …

Phishing website detection using novel machine learning fusion approach

A Lakshmanarao, PSP Rao… - … conference on artificial …, 2021 - ieeexplore.ieee.org
The Phishing is a sort of social designing assault regularly used to take client information,
including login accreditations and credit card numbers. With the enhancements in internet …

Phishing website detection: forest by penalizing attributes algorithm and its enhanced variations

YA Alsariera, AV Elijah, AO Balogun - Arabian Journal for Science and …, 2020 - Springer
The damaging effect of phishing is traumatizing as attackers or hackers execute theft of
sensitive information from users subtly for inappropriate or unauthorized usage. In the light …

Detecting phishing websites and targets based on URLs and webpage links

H Yuan, X Chen, Y Li, Z Yang… - 2018 24th International …, 2018 - ieeexplore.ieee.org
In this paper, we propose to extract features from URLs and webpage links to detect
phishing websites and their targets. In addition to the basic features of a given URL, such as …

A Boosting based Hybrid Feature Selection and Multi-layer Stacked Ensemble Learning Model to detect phishing websites

LR Kalabarige, RS Rao, AR Pais, LA Gabralla - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a type of online scam where the attacker tries to trick you into giving away your
personal information, such as passwords or credit card details, by posing as a trustworthy …

A high-accuracy phishing website detection method based on machine learning

M Bahaghighat, M Ghasemi, F Ozen - Journal of Information Security and …, 2023 - Elsevier
The rapid development of e-commerce, e-banking, and social networks has made phishing
attack detection one of the most critical technologies in all cyber security systems. To …