A Phishing Detection System based on Machine Learning

Che Yu Wu, Cheng Chung Kuo, Chu Sing Yang

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

Abstract

As the Internet has become an essential part of human beings' lives, a growing number of people are enjoying the convenience brought by the Internet, while more are attacks coming from on the dark side of the Internet. Based on some weaknesses of human nature, hackers have designed confusing phishing pages to entice web viewers to proactively expose their privacy, sensitive information.In this article, we propose a URL-based detection system - combining the URL of the web page URL and the URL of the web page source code as features, import Levenshtein Distance as the algorithm for calculating the similarity of strings, and supplemented by the machine learning architecture. Due to the great accuracy in small sample numbers and binary classification, we implement Support-vector machine to be the machine learning algorithm model in our system. The system is designed to provide high accuracy and low false positive rate detection results for unknown phishing pages.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages28-32
Number of pages5
ISBN (Electronic)9781728131597
DOIs
Publication statusPublished - 2019 Aug
Event2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019 - Tainan, Taiwan
Duration: 2019 Aug 302019 Sep 1

Publication series

NameProceedings - 2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019

Conference

Conference2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019
CountryTaiwan
CityTainan
Period19-08-3019-09-01

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Health Informatics
  • Communication
  • Social Sciences (miscellaneous)

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  • Cite this

    Wu, C. Y., Kuo, C. C., & Yang, C. S. (2019). A Phishing Detection System based on Machine Learning. In Proceedings - 2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019 (pp. 28-32). [8858325] (Proceedings - 2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEA.2019.8858325