Discovering Malicious URLs Using Machine Learning Techniques

Bo Sun, Takeshi Takahashi, Lei Zhu, Tatsuya Mori

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Security specialists have been developing and implementing many countermeasures against security threats, which is needed because the number of new security threats is further and further growing. In this chapter, we introduce an approach for identifying hidden security threats by using Uniform Resource Locators (URLs) as an example dataset, with a method that automatically detects malicious URLs by leveraging machine learning techniques. We demonstrate the effectiveness of the method through performance evaluations.

Original languageEnglish
Title of host publicationIntelligent Systems Reference Library
PublisherSpringer
Pages33-60
Number of pages28
DOIs
Publication statusPublished - 2020

Publication series

NameIntelligent Systems Reference Library
Volume177
ISSN (Print)1868-4394
ISSN (Electronic)1868-4408

ASJC Scopus subject areas

  • Computer Science(all)
  • Information Systems and Management
  • Library and Information Sciences

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