Intelligent Deep Learning for Smarter Phishing Detection in Modern Web Platforms
Phishing has remained one of the most persistent cybersecurity threats despite significant advances in digital security technologies. As organizations continue moving critical services online, cybercriminals are constantly refining phishing techniques to imitate legitimate websites, manipulate URLs, and deceive users into revealing sensitive information. Conventional security mechanisms such as rule-based filters and blacklists continue to play an important role, but they often struggle to keep pace with rapidly evolving phishing campaigns that change their characteristics almost as quickly as they are identified.
Artificial intelligence has introduced new possibilities for addressing this challenge. Rather than relying entirely on predefined rules, machine learning models can analyze large volumes of data, identify complex patterns, and learn characteristics associated with phishing attacks. This shift has encouraged researchers to explore deep learning approaches capable of improving phishing identification while adapting to continuously changing attack strategies.
These ideas are explored in Mahathi Kari’s research paper, “Intelligent Deep...
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