A Phishing Detection System based on Machine Learning

Che Yu Wu, Cheng Chung Kuo, Chu Sing Yang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings - 2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面28-32
頁數5
ISBN(電子)9781728131597
DOIs
出版狀態Published - 2019 八月
事件2019 International Conference on Intelligent Computing and Its Emerging Applications, ICEA 2019 - Tainan, Taiwan
持續時間: 2019 八月 302019 九月 1

出版系列

名字Proceedings - 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
國家Taiwan
城市Tainan
期間19-08-3019-09-01

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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