AI Phishing Detection Framework for Businesses with Limited Resources
Rhythm Jaiswal, R Marshal, Vuyyuru Venkateswara Rao, Kirti Pal Singh · 2024
Phishing remains the predominant entry point in most of the cyber-attacks. Artificial Intelligence based Phishing attacks are difficult to detect and evade the traditional phishing detection techniques. Detection of such phishing emails requires sophisticated tools. However, small businesses and startups face challenges to procure such sophisticated tools for monitoring phishing emails. In this work, an Artificial Intelligence phishing detection framework is proposed to detect Artificial Intelligence based phishing emails including Quishing attacks. The robust framework can be used by organizations having limited resources. The proposed methodology is validated by applying the framework on Artificial Intelligence generated phishing emails. The robustness of the proposed framework can be used to enhance the cybersecurity posture of organizations against phishing attacks.