Intelligent automotive network security evaluation model based on dynamic weight allocation

MI Rongxin; LIN Zhiqiang; QI Jiahao; YAO Wenwen; ZUO Jinxin; LU Yueming

doi:10.11959/j.issn.1000-0801.2024239

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Intelligent automotive network security evaluation model based on dynamic weight allocation

Research and Development | 更新时间：2025-03-17

- Intelligent automotive network security evaluation model based on dynamic weight allocation
- Telecommunications Science Vol. 40, Issue 11, Pages: 79-90(2024)
- 作者机构：
  
  1.国家计算机网络应急技术处理协调中心，北京 100029
  2.国家网信办数据与技术保障中心，北京 100080
  3.中国电信股份有限公司江苏分公司，江苏南京 210007
  4.北京邮电大学网络空间安全学院，北京 100876
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024239
  CLC： TP393
- Received：19 July 2024，
  
  Revised：14 October 2024，
  
  Published：20 November 2024
- 稿件说明：
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秘蓉新,林志强,齐佳豪等.基于动态权重分配的智能汽车网络安全评估模型[J].电信科学,2024,40(11):79-90.

MI Rongxin,LIN Zhiqiang,QI Jiahao,et al.Intelligent automotive network security evaluation model based on dynamic weight allocation[J].Telecommunications Science,2024,40(11):79-90.
秘蓉新,林志强,齐佳豪等.基于动态权重分配的智能汽车网络安全评估模型[J].电信科学,2024,40(11):79-90. DOI： 10.11959/j.issn.1000-0801.2024239.

MI Rongxin,LIN Zhiqiang,QI Jiahao,et al.Intelligent automotive network security evaluation model based on dynamic weight allocation[J].Telecommunications Science,2024,40(11):79-90. DOI： 10.11959/j.issn.1000-0801.2024239.

摘要

评估指标权重的确定是影响智能汽车网络安全性评估的重要因素之一。针对传统确权方法忽略指标属性状态变化对评估指标权重影响的问题，提出了一种基于动态权重分配的网络安全评估模型。该模型首先对车辆自组织网络（vehicular Ad Hoc network，VANET）进行安全目标分解与分析，构建其安全性评估指标体系。针对构建出的安全性评估指标体系，利用基于排序的确权算法对安全指标进行指标关联性分析，随后采用所提出的动态权重分配算法，计算指标体系中各个指标的动态权重，进而实现智能汽车VANET的安全性评估，得到安全等级评估结果。实验结果表明，该模型可以提升智能汽车VANET评估的合理性。

Abstract

The determination of the weight of evaluation indicators is one of the important factors affecting the security evaluation of intelligent vehicle networks. A network security evaluation model based on dynamic weight allocation was proposesd to address the problem of traditional property rights confirmation methods ignoring the impact of changes in indicator attribute states on the weight of evaluation indicators. The model first decomposed and analyzed the security objectives of the vehicle Ad Hoc network (VANET)

and constructed its security evaluation index system. Based on the constructed security evaluation index system

the correlation analysis of security indicators was carried out using a sorting and confirmation algorithm. Then

the proposed dynamic weight allocation algorithm was used to calculate the dynamic weights of each indicator in the index system

thereby achieving the security evaluation of the intelligent vehicle VANET and obtaining the security level evaluation results. The experimental results indicate that the model can improve the rationality of intelligent vehicle VANET evaluation.

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references

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