Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

Identification of phishing attacks using machine learning algorithm

PM Dinesh, M Mukesh, B Navaneethan… - E3S Web of …, 2023 - e3s-conferences.org
Phishing is a particular type of cybercrime that allows criminals to trick people and steal
crucial data. The phishing assault has developed into a more complex attack vector since …

A framework for securing email entrances and mitigating phishing impersonation attacks

PN Wosah - arXiv preprint arXiv:2312.04100, 2023 - arxiv.org
Emails are used every day for communication, and many countries and organisations mostly
use email for official communications. It is highly valued and recognised for confidential …

Phishing Node Detection in Ethereum Transaction Network Using Graph Convolutional Networks

Z Zhang, T He, K Chen, B Zhang, Q Wang, L Yuan - Applied Sciences, 2023 - mdpi.com
As the use of digital currencies, such as cryptocurrencies, increases in popularity, phishing
scams and other cybercriminal activities on blockchain platforms (eg, Ethereum) have also …

Phishing Detection in the Internet of Things for Cybersecurity

D Adhikari, I Ullah, I Syed, C Choi - Cybersecurity Management in …, 2023 - taylorfrancis.com
Phishing is a severe security risk that has negative impacts on both the individuals and the
brands it targets. Despite the fact that this danger has been around for a while, it is still quite …

Spammer detection in social networks based on user behaviours

DN Koggalahewa - 2023 - eprints.qut.edu.au
This thesis unveils a novel methodology for identifying social spammers through an
innovative analysis of user behaviours. The battle against social spammers has emerged as …

Enhancing Malicious Url Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation

A Sahban Rafsanjani, N Kamaruddin, M Behjati… - Norshaliza and Behjati … - papers.ssrn.com
Abstract Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat
by carrying out attacks such as phishing and malware propagation. Conventional malicious …

Phishing Attack Detection using NLP and Machine Learning.

N Kamble, N Mishra, S Rokade - … International Journal of …, 2023 - search.ebscohost.com
It's observed that in recent years, cyber-attacks are becoming a regular threat. In
conventional phishing attacks, targeted users are redirected to visit a fake or counterfeit …