Unbalanced Web Phishing Classification through Deep Reinforcement Learning

Unbalanced Web Phishing Classification through Deep Reinforcement Learning

Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing detection mechanisms that can adapt to such variations are paramount. Furthermore, web phishing detection is an...

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Bibliographic Details
Main Authors: Antonio Maci, Alessandro Santorsola, Antonio Coscia, Andrea Iannacone
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Computers
Subjects:
cybersecurity
reinforcement learning on cybersecurity
information security
web phishing detection
malicious URL
unbalanced classification
Online Access:https://www.mdpi.com/2073-431X/12/6/118

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https://www.mdpi.com/2073-431X/12/6/118

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