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检查基于物联网的机器人的传统尸网络检测

Ashley Woodiss-Field^1,2, Michael N Johnstone^1,2, Paul Haskell-Dowland^1,2

¹School of Science, Edith Cowan University, Joondalup 6027, Australia.

Sensors (Basel, Switzerland)

|February 10, 2024

概括

传统的尸网络检测方法如BotMiner和BotProbe可以识别物联网 (IoT) 尸网络,尽管存在一些限制. 这些技术为检测不断变化的网络威胁提供了互补的能力.

科学领域:

网络安全网络安全
网络安全网络安全
物联网 (IoT) 安全安全物联网

背景情况:

尸网络正在扩大以利用物联网 (IoT) 设备,这带来了新的安全挑战.
物联网设备具有独特的协议和网络结构,可以绕过传统的尸网络检测方法.
评估现有的尸网络检测技术对基于物联网的威胁的有效性至关重要.

研究的目的:

评估传统尸网络检测技术 (BotMiner,BotProbe,BotHunter) 对物联网尸网络的性能.
确定这些技术在检测基于物联网的恶意活动方面的局限性和互补优势.
通过模拟和外部数据集验证发现.

主要方法:

获得和实验评估的 BotMiner, BotProbe 和 BotHunter.
创建多样化的模拟环境,具有不同的宿主数量,感染水平和指挥控制 (CnC) 类型.
测试传统和物联网特定网络流量,包括异常活动场景.
使用外部获取的数据集进行验证.

主要成果:

与最初的预期相反,BotMiner和BotProbe展示了检测基于物联网的尸网络的能力.
当应用到物联网环境时,观察到BotMiner和BotProbe的特定操作限制.
该研究证实,传统的尸网络检测技术可以有效地对抗物联网尸网络.
不同的检测技术显示了在识别威胁方面互补应用的潜力.

结论:

传统的尸网络检测技术,如BotMiner和BotProbe,对于识别受影响的物联网设备是可行的.
虽然有效,但这些方法有特定的局限性,需要考虑物联网安全性.
不同的检测技术的组合可能会对复杂的尸网络提供更强大的防御.
进一步研究适应或开发用于物联网尸网络检测的新技术是有必要的.

关键词:

物联网的物联网,就是物联网.这里是Mirai Mirai.尸网络是一个尸网络.检测检测检测检测检测

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