Authors: Chibuike Samuel Eze, Lior Shamir

Published on: May 08, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2405.05435

Summary

• What is new: This research introduces a comprehensive study on detecting AI-generated phishing emails using machine learning, differentiating from prior works by focusing on generative AI’s role in phishing.
• Why this is important: The rise of generative AI enables attackers to produce more sophisticated and varied phishing emails, making traditional detection methods less effective.
• What the research proposes: A corpus of AI-generated phishing emails was developed to train machine learning tools, aiming to improve the detection of such emails.
• Results: Machine learning tools demonstrated a high accuracy in identifying AI-generated phishing emails, distinguishing them from regular or human-generated scam emails.

Technical Details

Technological frameworks used: nan

Models used: descriptive analytics, machine learning tools

Data used: corpus of AI-generated phishing emails

Potential Impact

Cybersecurity firms, email service providers, and businesses relying on email communications could significantly benefit from applying these insights to enhance their defense mechanisms against phishing.

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