Scholarlink

This article examines the applicability of machine learning in the context of information security. The main focus is on analyzing the effectiveness of various algorithms and models in strengthening the protection of information systems. This review covers the breadth of machine learning applications to information security problems, presents a wide variety of machine learning methods, and discusses examples of how each of them applies to security-related problems. The article provides examples of how machine learning is used to counter cyber threats, ensure the security of mobile and cloud environments, and automate the threat analysis process. The aim of the work is to systematize relevant research, methods and technologies of machine learning that contribute to improving the level of security and data security in an ever-changing threat landscape.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Detecting Information Security Threats Using Machine Learning: A Survey of Algorithms and Application Problems

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Vitalii Lapin,
  • Marina Tokmakova,
  • Alexey Dmitrienko,
  • Mohammad Sajid

摘要

This article examines the applicability of machine learning in the context of information security. The main focus is on analyzing the effectiveness of various algorithms and models in strengthening the protection of information systems. This review covers the breadth of machine learning applications to information security problems, presents a wide variety of machine learning methods, and discusses examples of how each of them applies to security-related problems. The article provides examples of how machine learning is used to counter cyber threats, ensure the security of mobile and cloud environments, and automate the threat analysis process. The aim of the work is to systematize relevant research, methods and technologies of machine learning that contribute to improving the level of security and data security in an ever-changing threat landscape.