Discovering Malicious URLs Using Machine Learning Techniques

Bo Sun, Takeshi Takahashi, Lei Zhu, Tatsuya Mori

研究成果: Chapter

抜粋

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.

元の言語English
ホスト出版物のタイトルIntelligent Systems Reference Library
出版者Springer
ページ33-60
ページ数28
DOI
出版物ステータスPublished - 2020

出版物シリーズ

名前Intelligent Systems Reference Library
177
ISSN(印刷物)1868-4394
ISSN(電子版)1868-4408

ASJC Scopus subject areas

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

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  • これを引用

    Sun, B., Takahashi, T., Zhu, L., & Mori, T. (2020). Discovering Malicious URLs Using Machine Learning Techniques. : Intelligent Systems Reference Library (pp. 33-60). (Intelligent Systems Reference Library; 巻数 177). Springer. https://doi.org/10.1007/978-3-030-38788-4_3