Phishing Dynamic Evolving Neural Fuzzy Framework for Online Detection Zero-day Phishing Email

TL;DR

This paper proposes a dynamic neural fuzzy framework designed to detect evolving phishing emails online, addressing the challenge of zero-day phishing attacks through adaptive detection methods.

Contribution

It introduces a novel neural fuzzy system that dynamically adapts to new phishing tactics, improving real-time detection of zero-day phishing emails.

Findings

Enhanced detection accuracy for zero-day phishing emails

Real-time adaptability of the neural fuzzy framework

Improved resilience against evolving phishing tactics

Abstract

Phishing is a kind of attack in which criminals use spoofed emails and fraudulent web sites to trick financial organization and customers. Criminals try to lure online users by convincing them to reveal the username, passwords, credit card number and updating account information or fill billing information.