论文标题
VANET安全消息的智能声誉系统
Intelligent Reputation System for Safety Messages in VANET
论文作者
论文摘要
如今，车辆广告 - HOC网（VANET）应用程序在我们的生活中变得非常重要，因为Vanet为驾驶员提供了安全信息，警告和说明，以确保驾驶员拥有安全而愉快的旅程。 Vanet Security是计算机网络研究中最热门的主题之一，伪造Vanet System信息违反了Vanet安全目标，并可能导致危险情况和生命损失。在本文中，将提出智能声誉制度（IRS）旨在识别攻击车辆；拟议的系统将依靠意见生成，信托价值收集，流量分析，基于位置，数据收集以及智能决策来制定多参数贪婪的最佳第一算法。这项研究的结果将提高Vanet的安全水平，并有助于识别行为不端的车辆及其信息。事实证明，所提出的系统的结果优于其他声誉系统。
Nowadays, Vehicle Ad - hoc Nets (VANET) applications have become very important in our lives because VANET provides drivers with safety messages, warnings, and instructions to ensure drivers have a safe and enjoyable journey. VANET Security is one of the hottest topics in computer networks research, Falsifying VANET system information violates VANET safety objectives and may lead to hazardous situations and loss of life. In this paper, an Intelligent Reputation System (IRS) aims to identify attacking vehicles will be proposed; the proposed system will rely on opinion generation, trust value collection, traffic analysis, position based, data collection, and intelligent decision making by utilizing the multi-parameter Greedy Best First algorithm. The results of this research will enhance VANET's safety level and will facilitate the identification of misbehaving vehicles and their messages. The results of the proposed system have also proven to be superior to other reputational systems.
