Advanced Techniques and Best Practices for Phishing Detection

Abstract

Phishing attacks are among the most prevalent and dangerous cyber threats, exploiting both technological and human vulnerabilities to access sensitive information. As phishing techniques evolve, organizations must implement various detection strategies to stay ahead of cybercriminals. This chapter delves into phishing detection methods, covering traditional approaches like signature-based detection and content filtering, alongside advanced strategies such as heuristic analysis, machine learning, and artificial intelligence (AI). It evaluates the strengths, limitations, and practical applications of these methods in real-world scenarios. Additionally, the chapter explores emerging technologies like Natural Language Processing (NLP), blockchain, and behavioral analysis that are redefining phishing detection. By combining traditional and modern techniques, organizations can enhance their ability to identify and prevent phishing attacks, strengthening their overall cybersecurity.