基于软件定义网络 (SDN) 和机器学习技术的入侵检测能力的物联网 (IoT) 中的安全路由
Kunkun Rui1,2, Hongzhi Pan3, Sheng Shu3
1School of Information and Artificial Intelligence, Anhui Business College, Wuhu, AnHui, 241002, China. jackierkk@abc.edu.cn.
Scientific reports
|October 21, 2023
概括
这项研究介绍了SRAIOT,它是一种在物联网 (IoT) 中增强安全路由的算法. 通过使用层次结构和软件定义网络 (SDN) 来改善路由和攻击检测,SRAIOT提高了网络性能.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 无线通信无线通信
背景情况:
- 安全的路由和网络操作对于无线网络至关重要,特别是在大规模的物联网 (IoT) 部署中.
- 现有的方法在复杂的物联网环境中高效管理安全和路由方面面临挑战.
研究的目的:
- 提出和评估一种新的算法,即物联网中的安全路由 (SRAIOT),旨在增强物联网网络中的安全路由和攻击检测.
- 利用层次网络结构和软件定义网络 (SDN) 来改善网络管理和安全.
主要方法:
- SRAIOT算法采用由SDN促进的层次网络管理方法,将物联网网络划分为子网络.
- 每个子网内的控制器节点管理通信,身份验证,并使用集体学习模型监控网络流量以检测攻击.
- 互子网通信需要通过各自的控制器节点进行身份验证.
主要成果:
- 模拟表明,SRAIOT在路由效率和攻击检测能力方面显著提高了网络性能.
- 通过分析流量模式,SRAIOT有效地识别攻击源和网络安全威胁.
结论:
- 通过将层次管理与SDN和高级威胁检测集成,SRAIOT为物联网网络的安全路由提供了强大的解决方案.
- 拟议的算法在复杂的物联网环境中提高了整体网络安全和运营效率.
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