CRFeb 4, 2013

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

arXiv:1302.0629v177 citations
Originality Synthesis-oriented
AI Analysis

This addresses phishing attacks for financial organizations and customers, but appears incremental as it builds on existing neural fuzzy methods.

The paper tackles the problem of detecting zero-day phishing emails by proposing a dynamic evolving neural fuzzy framework, achieving unspecified detection performance improvements.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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