检测横向运动:一个系统的调查调查
Christos Smiliotopoulos1, Georgios Kambourakis1, Constantinos Kolias2
1Department of Information and Communication Systems Engineering, University of the Aegean, Karlovasi 83200, Samos, Greece.
Heliyon
|February 26, 2024
概括
本调查提供了使用入侵检测系统 (IDS) 识别侧向运动 (LM) 的全面概述,涵盖端点检测和响应 (EDR),机器学习和基于图形的策略.
科学领域:
- 网络安全 网络安全
- 网络入侵检测 网络入侵检测
背景情况:
- 横向运动 (LM) 在MITRE ATT&CK等网络攻击框架中至关重要.
- 现有的研究缺乏从入侵检测系统 (IDS) 的角度对LM识别的全面调查.
研究的目的:
- 使用IDS提供横向运动识别的系统和整体概述.
- 在LM检测的范围内涵盖诸如物联网 (IoT) 等新兴范式.
主要方法:
- 在8年的时间里对53篇文章进行了系统的调查.
- 将现有研究分类为三个主要重点领域:终点检测和响应 (EDR) 方案,机器学习解决方案和基于图形的策略.
主要成果:
- 确定了LM检测研究中的关键趋势和相互关系.
- 突出了EDR,机器学习和IDS的基于图形的方法的进展.
结论:
- 该调查解决了通过IDS了解LM识别的差距.
- 提供了关键观察结果,以指导未来的研究,以推进LM检测技术.
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