通过减少干扰攻击者在VANET中使用概率曼哈顿网格拓来减少交通协调汽车应用程序
G B Santhi1, Suma Sira Jacob2, D Sheela3
1Department of Computer Science and Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, India. santhi.bhavani@gmail.com.
Scientific reports
|April 10, 2024
概括
这项研究通过改善车道纪律和检测干扰攻击者来提高印度的车辆通信安全. 它通过使用先进的路由和检测算法,减少了未分割的道路上的潜在伤害.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 车辆定时网络 (VANET) 是一个车辆定时网络.
- 交通安全工程 交通安全工程
背景情况:
- 由于车辆动态和车道纪律不佳,印度交通表现出显著的波动.
- 不分开的道路与混合交通增加了事故和伤害的风险.
- 车辆定时网络 (VANET) 在混乱的交通环境中面临着挑战.
研究的目的:
- 为了尽量减少在未分割的道路上混合交通中的车辆互动造成的伤害.
- 提高车辆通信系统的安全性和效率.
- 为应对无纪律驾驶和潜在网络攻击所带来的挑战.
主要方法:
- 实施修改的曼哈顿网格拓用于指导导航.
- 应用模糊C-Means (FCM) 算法来干扰攻击者检测.
- 利用修改的鱼眼状态路由 (MFSR) 来减少信息交换.
- 开发粒子集群优化 (PSO) 系统,以精确地定位攻击者.
主要成果:
- 在检测到的干扰攻击者中显著减少了30%.
- 在识别和定位攻击者方面实现了70%的准确率.
- 在VANET中证明了改进的驾驶员指导和减少信息开销.
结论:
- 综合方法有效地提高了VANET的安全性和安全性.
- 修改后的曼哈顿电网,FCM,MFSR和PSO共同改善了交通管理.
- 拟议的方法为减少印度复杂交通条件下的事故提供了可行的解决方案.
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