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A Review of Website Phishing Attack Detection Methods

EasyChair Preprint no. 2461

6 pagesDate: January 26, 2020


Phishing is a type of Cyber attack that uses fake sites to take sensitive client data. for example, Account login certifications, credit card numbers, phishing sites for commonly entry points of online social engineering attack, including numerous ongoing on the web scams. In this paper, a review of website phishing attack detection methods discussed the various studies which were used to detect phishing attack. The classification methods, different approaches to detect phishing attack and the obtained result of the studies are discussed briefly.

Keyphrases: Classification, Data Mining, machine learning, Phishing Attack

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Abdul Basit and Maham Zafar and Zunera Jalil},
  title = {A Review of Website Phishing Attack Detection Methods},
  howpublished = {EasyChair Preprint no. 2461},

  year = {EasyChair, 2020}}
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