基于信誉积分的路况信息共享中共谋攻击节点检测方法

玄世昌; 汤浩; 杨武

doi:10.11959/j.issn.1000-436x.2021051

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基于信誉积分的路况信息共享中共谋攻击节点检测方法

学术论文 | 更新时间：2024-06-05

- 基于信誉积分的路况信息共享中共谋攻击节点检测方法
- Method for detecting collusion attack node in road condition information sharing based on reputation point
- 通信学报 2021年42卷第4期页码：158-168
- 作者机构：
  
  哈尔滨工程大学信息安全研究中心，黑龙江哈尔滨 150001
- 作者简介：
  
  [ "玄世昌（1984- ），男，黑龙江讷河人，博士，哈尔滨工程大学副教授、硕士生导师，主要研究方向为网络与信息安全、区块链技术等。" ]
  [ "汤浩（1996- ），男，黑龙江密山人，哈尔滨工程大学硕士生，主要研究方向为网络安全、区块链技术等。" ]
  [ "杨武（1974- ），男，辽宁宽甸人，博士，哈尔滨工程大学教授、博士生导师，主要研究方向为信息安全、数据挖掘、互联网安全。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61802086);中央高校基本科研业务费专项资金资助项目(3072020CF0601)
- DOI：10.11959/j.issn.1000-436x.2021051
  中图分类号： TP39
- 网络出版日期：2021-04，
  
  纸质出版日期：2021-04-25
- 稿件说明：
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玄世昌, 汤浩, 杨武. 基于信誉积分的路况信息共享中共谋攻击节点检测方法[J]. 通信学报, 2021,42(4):158-168.

Shichang XUAN, Hao TANG, Wu YANG. Method for detecting collusion attack node in road condition information sharing based on reputation point[J]. Journal on communications, 2021, 42(4): 158-168.
玄世昌, 汤浩, 杨武. 基于信誉积分的路况信息共享中共谋攻击节点检测方法[J]. 通信学报, 2021,42(4):158-168. DOI： 10.11959/j.issn.1000-436x.2021051.

Shichang XUAN, Hao TANG, Wu YANG. Method for detecting collusion attack node in road condition information sharing based on reputation point[J]. Journal on communications, 2021, 42(4): 158-168. DOI： 10.11959/j.issn.1000-436x.2021051.

摘要

针对车联网中共谋节点可能协同发布虚假路况信息，导致路况信息共享过程中消息真实性无法保证的问题，提出了一种基于信誉积分的路况信息共享中共谋攻击节点检测方法。在路况信息聚合过程中，设计了恶意信息检测算法，能够检测到共谋节点发布的虚假消息，保证系统中传递消息的真实准确。安全性评估和实验表明，相比于现有方案，该方法对共谋节点的检测效率更高，共谋节点数量占比适应场景更广泛。

Abstract

Aiming at the problem that on occasion of the release of false road condition information by collusion nodes in the Internet of vehicles collaboratively

message authenticity could not be guaranteed in the process of road condition information sharing

a method for detecting collusion attack nodes in road condition information sharing based on reputation points was proposed.In the process of road condition information aggregation

a malicious information detection algorithm was designed to detect false messages issued by colluding nodes

which could ensure the authenticity and accuracy of messages delivered in the system.Experimental results show that the proposed method has higher detection efficiency for collusion nodes and adaption to a proportion of collusion nodes through security evaluation and experiments in comparison with the existing schemes.

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references

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