Phishing web site detection using diverse machine learning algorithms
Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
An intelligent identification and classification system for malicious uniform resource locators (URLs)
Abstract Uniform Resource Locator (URL) is a unique identifier composed of protocol and
domain name used to locate and retrieve a resource on the Internet. Like any Internet …
domain name used to locate and retrieve a resource on the Internet. Like any Internet …
Phishing attacks and websites classification using machine learning and multiple datasets (a comparative analysis)
Phishing attacks are the most common type of cyber-attacks used to obtain sensitive
information and have been affecting individuals as well as organizations across the globe …
information and have been affecting individuals as well as organizations across the globe …
Detection of phishing websites from URLs by using classification techniques on WEKA
B Geyik, K Erensoy, E Kocyigit - 2021 6th International …, 2021 - ieeexplore.ieee.org
The Internet is getting stronger day by day and it makes our lives easier with many
applications that are executed on cyberworld. However, with the development of the internet …
applications that are executed on cyberworld. However, with the development of the internet …
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
With the advent of the 20th century, the popularity of digital service usages is increasing
every day. The internet has always been a popular communication method, and phishing …
every day. The internet has always been a popular communication method, and phishing …
XAI-PhD: Fortifying Trust of Phishing URL Detection Empowered by Shapley Additive Explanations.
The rapid growth of the Internet has led to an increased demand for online services.
However, this surge in online activity has also brought about a new threat: phishing attacks …
However, this surge in online activity has also brought about a new threat: phishing attacks …
Ai@ ntiphish—machine learning mechanisms for cyber-phishing attack
YH Chen, JL Chen - IEICE Transactions on Information and …, 2019 - search.ieice.org
This study proposes a novel machine learning architecture and various learning algorithms
to build-in anti-phishing services for avoiding cyber-phishing attack. For the rapid develop of …
to build-in anti-phishing services for avoiding cyber-phishing attack. For the rapid develop of …
Prevention of Phishing attacks using AI Algorithm
A particularly successful type of cybercrime that allows criminals to trick people and steal
crucial data is phishing. Phishing is currently one of the most common online scams …
crucial data is phishing. Phishing is currently one of the most common online scams …
Hybrid Phishing Detection Based on Automated Feature Selection Using the Chaotic Dragonfly Algorithm
Due to the increased frequency of phishing attacks, network security has gained the
attention of researchers. In addition to this, large volumes of data are created every day, and …
attention of researchers. In addition to this, large volumes of data are created every day, and …
[HTML][HTML] Safeguarding cyberspace: Enhancing malicious website detection with PSOoptimized XGBoost and firefly-based feature selection
In recent years, the exponential growth of internet usage worldwide has created a conducive
environment for the expansion of malicious activities. Among these threats, malicious …
environment for the expansion of malicious activities. Among these threats, malicious …