Phishing detection using machine learning algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid increase of phishing attacks has led individuals and organizations losing billions of dollars as well as worried about the confidentiality and privacy of their data. This tremendous annual increase of phishing attacks shows that the current detection methods available are not sufficient, therefore more effective phishing detection methods should be developed. This paper proposed a novel phishing detection model using machine learning, to improve efficacy and accuracy in phishing detection. This paper explores the current state-of-the-art in phishing detection along with their drawbacks and proposes a new novel method based on image visualisation of website code and features extraction from malicious URLs which is under development.

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE International Conference on Cyber Security and Resilience, CSR 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages317-322
Number of pages6
ISBN (Electronic)9781665499521
ISBN (Print)9781665499538
DOIs
Publication statusPublished - 6 Sep 2022
Event2nd IEEE International Conference on Cyber Security and Resilience, CSR 2022 - Virtual, Online, Greece
Duration: 27 Jul 202229 Jul 2022

Conference

Conference2nd IEEE International Conference on Cyber Security and Resilience, CSR 2022
Country/TerritoryGreece
CityVirtual, Online
Period27/07/2229/07/22

Keywords

  • Binary visualisations
  • Images
  • Machine learning
  • Phishing detection
  • Spam

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