基于信任的优化报告,用于检测和预防低功耗和有损绿色物联网网络中的黑洞攻击
Muhammad Ali Khan1, Rao Naveed Bin Rais2, Osman Khalid1
1Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
本研究介绍了优化报告模块 (ORM),这是一个新的信任模型,用于打击绿色物联网 (IoT) 系统中的黑洞攻击. 在资源有限的环境中,ORM通过提高检测率和减少虚假报警来提高网络安全性.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 物联网的物联网,就是物联网.
背景情况:
- 绿色物联网 (IoT) 系统使用具有资源限制的节点的低功耗和损耗网络 (LLNs).
- 低功耗和丢失网络 (RPL) 的路由协议在LLN中很常见,但易受黑洞等攻击的影响.
- 目前绿色物联网中的黑洞攻击检测依赖于静态值,导致高假阳性率.
研究的目的:
- 提出基于三角洲值的信任模型,即优化报告模块 (ORM),以减轻绿色物联网中的黑洞攻击.
- 在资源有限的物联网网络中增强通信的安全性和可靠性.
主要方法:
- 优化报告模块 (ORM) 包含直接和间接信任指标.
- 直接信任是通过诚实,精力和无私等绩效指标来计算的.
- 使用忘记曲线来优先考虑最近和重要的信任反,并结合间接信任的相似性.
主要成果:
- 与现有方法相比,拟议的ORM方案显示了黑洞攻击的更高检测率.
- 在模拟中,ORM在模拟中实现了明显较低的假阳性报警率.
- 这些结果证实了ORM在绿色物联网环境中的有效性.
结论:
- 优化报告模块 (ORM) 有效地减轻绿色物联网系统中的黑洞攻击.
- ORM的三角形值方法和忘记曲线的使用提高了检测准确度,减少了错误报警.
- 拟议的方案是提高资源有限的物联网网络安全性的可行解决方案.
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