RPLAD3:在基于无线传感器网络的物联网中检测黑洞,灰洞和选择性转发攻击的异常检测
Zainab Alansari1,2, Nor Badrul Anuar1, Amirrudin Kamsin1
1Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了RPLAD3,这是一种用于检测无线传感器网络 (WSN) 中灰洞和黑洞等内部攻击的新系统. RPLAD3通过信任模型增强了低功耗和损耗网络 (RPL) 的路由协议,提高了安全性和性能.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 无线传感器网络 无线传感器网络
背景情况:
- 低功耗和损耗网络 (RPL) 的路由协议对于无线传感器网络 (WSN) 和物联网 (IoT) 至关重要.
- 尽管使用加密安全,但RPL缺乏针对黑洞和灰洞等内部攻击的强有力的防御.
- 现有的关于RPL内部攻击检测的研究还没有充分解决物联网至关重要的移动性框架.
研究的目的:
- 介绍一种新的,轻量级的系统,用于检测灰洞,黑洞和选择性转发攻击在RPL.
- 将信任模型集成到RPL中,以加强攻击检测,特别考虑移动性.
- 引入RPLAD3系统,设计用于网络初始化后的即时操作.
主要方法:
- 开发一个名为RPLAD3的四层系统,用于异常检测.
- 在RPL协议中实施信任模型,以识别恶意节点.
- 在动态移动条件下评估RPLAD3的有效性.
主要成果:
- 与标准的RPL协议相比,RPLAD3在缓解内部攻击方面表现优越.
- 该系统在攻击检测方面实现了高精度和高真正比率.
- RPLAD3显著改善了数据包传输比率,并将虚假阳性比率降至零,同时降低了功耗.
结论:
- 拟议的RPLAD3系统有效地加强了RPL,防止WSN中的关键内部攻击.
- 信任模型和轻量级设计使RPLAD3适合于资源有限的物联网环境.
- RPLAD3为保护WSN免受复杂的内部威胁提供了一个有希望的解决方案.
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