基于云计算和动态贝叶斯博弈的WSN恶意程序传播优化抑制方法

沈士根; 冯晟; 周海平; 黄龙军; 胡珂立; 曹奇英

doi:10.11959/j.issn.1000-0801.2018259

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基于云计算和动态贝叶斯博弈的WSN恶意程序传播优化抑制方法

研究与开发 | 更新时间：2024-06-05

- 基于云计算和动态贝叶斯博弈的WSN恶意程序传播优化抑制方法
- Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game
- 电信科学 2018年34卷第9期页码：78-86
- 作者机构：
  
  1. 绍兴文理学院计算机科学与工程系，浙江绍兴 312000
  2. 东华大学计算机科学与技术学院，上海 201620
- 作者简介：
  
  [ "沈士根（1974−），男，博士，绍兴文理学院计算机科学与工程系教授，主要研究方向为无线传感器网络、物联网、博弈论。" ]
  [ "冯晟（1979−），男，博士，绍兴文理学院计算机科学与工程系讲师，主要研究方向为无线传感器网络、物联网、计算机视觉、智能机器人。" ]
  [ "黄龙军（1976−），男，博士，绍兴文理学院计算机科学与工程系讲师，主要研究方向为无线传感器网络、博弈论。" ]
  [ "胡珂立（1989−），男，博士，绍兴文理学院计算机科学与工程系讲师，主要研究方向为图像处理、目标跟踪、中智理论。" ]
  [ "曹奇英（1960−），男，博士，东华大学计算机科学与技术学院教授、博士生导师，主要研究方向为普适计算、智能信息处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61772018)
- DOI：10.11959/j.issn.1000-0801.2018259
  中图分类号： TP393
- 网络出版日期：2018-09，
  
  纸质出版日期：2018-09-20
- 稿件说明：
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沈士根, 冯晟, 周海平, 等. 基于云计算和动态贝叶斯博弈的WSN恶意程序传播优化抑制方法[J]. 电信科学, 2018,34(9):78-86.

Shigen SHEN, Sheng FENG, Haiping ZHOU, et al. Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game[J]. Telecommunications science, 2018, 34(9): 78-86.
沈士根, 冯晟, 周海平, 等. 基于云计算和动态贝叶斯博弈的WSN恶意程序传播优化抑制方法[J]. 电信科学, 2018,34(9):78-86. DOI： 10.11959/j.issn.1000-0801.2018259.

Shigen SHEN, Sheng FENG, Haiping ZHOU, et al. Optimal approach of suppressing WSN malware propagation based on cloud computing and dynamic Bayesian game[J]. Telecommunications science, 2018, 34(9): 78-86. DOI： 10.11959/j.issn.1000-0801.2018259.

摘要

为有效地应用入侵检测系统检测WSN（wireless sensor network，无线传感网络）恶意程序从而抑制WSN恶意程序传播，在考虑WSN节点资源有限和云计算平台资源几乎无限的现状基础上，借助云计算平台提出WSN入侵检测网络结构。依据传感节点和WSN入侵检测代理之间博弈过程的分析，使用动态贝叶斯博弈建立了考虑WSN入侵检测代理监控数据发送能耗和传感节点隐私保护需求的WSN恶意程序传播抑制博弈模型。依据建立的博弈类型，并基于精炼贝叶斯均衡提出抑制WSN恶意程序传播的优化策略，并给出具体的算法。实验分析了影响WSN入侵检测代理选择优化策略的因素，为具体应用提供了实验依据。

Abstract

To apply intrusion detection system (IDS) efficiently so as to suppress WSN malware propagation

a cloud-based network infrastructure for realizing functions of WSN IDS was presented

considering the real basis that the resources of WSN nodes were limited whilst the resources of cloud computing platform were almost unlimited.Based on the analysis of the game process between a sensor node and the corresponding WSN IDS agent

a WSN-malware-propagation-suppression game model was constructed by employing the dynamic Bayesian game

and the requirements of energy consumption in sending monitored data and privacy protection for sensor nodes were satisfied.According to the proposed game type and refined Bayesian equilibrium

the optimal strategie for suppressing WSN malware was proposed as well the algorithm for actual application was given.The factors that influence WSN IDS agents to select their optimal strategies were analyzed

and the experimental foundation was provided for the application of the proposed approach.

关键词

Keywords

references

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