EXPLAINABLE AI FOR PHISHING DETECTION: TRENDS, CHALLENGES, AND FUTURE DIRECTIONS


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Tonkal Ö., Aslıyüksek H.

Foundations and Advances in Artificial Intelligence: Theory, Systems, Security And Educational Applications-1, EYYÜP GÜLBANDILAR, Editör, Bidge Yayınları, Ankara, ss.1-29, 2025

  • Yayın Türü: Kitapta Bölüm / Mesleki Kitap
  • Basım Tarihi: 2025
  • Yayınevi: Bidge Yayınları
  • Basıldığı Şehir: Ankara
  • Sayfa Sayıları: ss.1-29
  • Editörler: EYYÜP GÜLBANDILAR, Editör
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Samsun Üniversitesi Adresli: Evet

Özet

The continuously escalating and increasingly sophisticated cybersecurity threats are making phishing attacks one of the most significant, harmful, and enduring problems of the modern digital age. Phishing attempts continue to circumvent traditional signaturebased security measures through impersonating legitimate institutions with the intent to acquire sensitive information by illegal means (Yakandawala, Madushanka, & Ilmini, 2024). The threat's reach is no longer ignorable. According to a report published in 2024, AI-powered social engineering methods were identified as being used in more than 932,923 incidents in the third quarter of 2024 (APWG, 2025).This dramatic increase highlights the need for adaptable and effective defence systems. Implementing AI-powered countermeasures is considered essential for interpreting these attacks, which employ complex scenarios, and for generating rapid responses.