Fuzzy Modelling using Firefly Algorithm for Phishing Detection

Noor Syahirah Nordin, Mohd Arfian Ismail, Vitaliy Mezhuyev, Shahreen Kasim, Mohd Saberi Mohamad, Ashraf Osman Ibrahim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


A fuzzy system is a rule-based system that uses human experts' knowledge to make a particular decision, while fuzzy modeling refers to the identification process of the fuzzy parameters. To generate the fuzzy parameters automatically, an optimization method is needed. One of the suitable methods provides the Firefly Algorithm (FA). FA is a nature-inspired algorithm that uses fireflies' behavior to interpret data. This study explains in detail how fuzzy modeling works by using FA for detecting phishing. Phishing is an unsettled security problem that occurs in the world of internet connected computers. In order to experiment with the proposed method for the security threats, a database of phishing websites and SMS from different sources were used. As a result, the average accuracy for the phishing websites dataset achieved 98.86%, while the average value for the SMS dataset is 97.49%. In conclusion, both datasets show the best result in terms of the accuracy value for fuzzy modeling by using FA.

Original languageEnglish
Pages (from-to)291-296
Number of pages6
JournalAdvances in Science, Technology and Engineering Systems
Issue number6
Publication statusPublished - 2019
Externally publishedYes


  • Firefly algorithm
  • Fuzzy modeling
  • Phishing detection

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Physics and Astronomy (miscellaneous)
  • Management of Technology and Innovation


Dive into the research topics of 'Fuzzy Modelling using Firefly Algorithm for Phishing Detection'. Together they form a unique fingerprint.

Cite this