基于ANN的智能安全路由协议在使用增强的AODVV的车辆特设网络 (VANET) 中
Mahmood Ul Hassan1, Amin A Al-Awady1, Abid Ali2,3
1Department of Computer Skills, Deanship of Preparatory Year, Najran University, Najran 66241, Saudi Arabia.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
本研究介绍了用于车载特设网络 (VANET) 的智能路由协议,以应对黑洞攻击. 这种新方法在检测恶意节点方面达到98.97%的准确性,增强了安全的数据传输.
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:
- 基于5G技术,车辆特设网络 (VANET) 对于车辆对车辆和车辆对基础设施的通信至关重要.
- 黑洞攻击通过破坏数据包转发,对VANET安全构成重大威胁.
- 现有的路由协议难以有效地缓解这些安全挑战,特别是在高速场景中.
研究的目的:
- 为 VANET 开发基于集群的智能路由协议,以提高安全性和效率.
- 为了减轻黑洞攻击在VANET中的影响.
- 为了提高数据包传输的可靠性,并尽量减少延迟.
主要方法:
- 一个人工神经网络 (ANN) 模型被用于恶意节点检测.
- 改进的集群算法建立了带有指定集群头 (CH) 的集群.
- 为了最佳的路径选择,集成了一个修改后的临时需求距离向量 (AODV) 协议,改进了RREQ和RREP协议.
主要成果:
- 在检测黑洞攻击时,ANN分类器实现了98.97%的准确性.
- 与现有方法相比,拟议的协议在网络路由参数方面表现出优异的性能.
- 使用NS-2.33的模拟显示,端到端延迟减少,吞吐量提高,跳跃数减少.
结论:
- 基于集群的智能路由协议有效地检测和减轻VANET中的黑洞攻击.
- 整合ANN和修改后的AODV可以提高网络安全性和路由效率.
- 这种方法为动态的车辆环境中安全可靠的通信提供了有希望的解决方案.
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