A comprehensive survey of AI-enabled phishing attacks detection techniques

Abdul Basit, Maham Zafar, Xuan Liu, Abdul Rehman Javed, Zunera Jalil, Kashif Kifayat

Open source

DOI: 10.1007/s11235-020-00733-2
Published: 2020-10-23
Container: Telecommunication Systems
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11235-020-00733-2,
  title = {A comprehensive survey of AI-enabled phishing attacks detection techniques},
  author = {Abdul Basit and Maham Zafar and Xuan Liu and Abdul Rehman Javed and Zunera Jalil and Kashif Kifayat},
  year = {2020},
  journal = {Telecommunication Systems},
  doi = {10.1007/s11235-020-00733-2},
  url = {https://doi.org/10.1007/s11235-020-00733-2}
}

RIS

TY  - JOUR
TI  - A comprehensive survey of AI-enabled phishing attacks detection techniques
AU  - Abdul Basit
AU  - Maham Zafar
AU  - Xuan Liu
AU  - Abdul Rehman Javed
AU  - Zunera Jalil
AU  - Kashif Kifayat
PY  - 2020
JO  - Telecommunication Systems
DO  - 10.1007/s11235-020-00733-2
UR  - https://doi.org/10.1007/s11235-020-00733-2
ER  -

APA

Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2020). A comprehensive survey of AI-enabled phishing attacks detection techniques. Telecommunication Systems. https://doi.org/10.1007/s11235-020-00733-2

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crossref · retrieved 2026-09-27T05:28:36.095Z