电子学报 ›› 2016, Vol. 44 ›› Issue (1): 168-175.DOI: 10.3969/j.issn.0372-2112.2016.01.025

• 学术论文 • 上一篇    下一篇

一种基于云模型的WSNs节点信誉安全方案

肖云鹏, 姚豪豪, 刘宴兵   

  1. 重庆邮电大学网络与信息安全技术重庆市工程实验室, 重庆 400065
  • 收稿日期:2015-03-04 修回日期:2015-07-15 出版日期:2016-01-25 发布日期:2016-01-25
  • 作者简介:肖云鹏 男,1979年生,重庆邮电大学副教授,硕士生导师,主要研究方向为大数据,移动互联网,信息安全. E-mail:xiaoyp@cqupt.edu.cn 姚豪豪 男,1989年生,重庆邮电大学硕士研究生,主要研究方向为无线传感网安全. 刘宴兵 男,1971年生,重庆邮电大学教授,博士生导师,主要研究方向为网络分析和网络安全.
  • 基金资助:

    国家自然科学基金(No.61272400);重庆市青年人才项目(No.cstc2013kjrc-qnrc40004);教育部-中国移动研究基金(No.MCM20130351);重庆市研究生研究与创新项目(No.CYS14146);重庆邮电大学文峰基金(No.WF201403);重庆市教委科学计划项目(No.KJ1500425)

A WSNs Node Reputation Security Scheme Based on Cloud Model

XIAO Yun-peng, YAO Hao-hao, LIU Yan-bing   

  1. Chongqing Engineering laboratory of Internet and Information Security, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2015-03-04 Revised:2015-07-15 Online:2016-01-25 Published:2016-01-25

摘要:

针对已有基于轻量云模型的节点信誉安全方案中存在的决策困难问题以及推荐节点的恶意行为识别问题,提出了优化的轻量云模型MLCM(Modified Light-weighted Cloud Model),并在此基础上设计实现一种新型的节点信誉安全方案.首先,在传统无线传感网信任管理信任值的处理方式的基础上,对节点的直接信任值和间接信任值进行综合处理后再利用云模型简化逆向云算子进行计算,以解决信任误判问题;其次,用云隶属度函数计算推荐信任值,在涉及推荐节点信任值计算时可以提高恶意节点识别的准确度.实验表明,该方案在克服传统的入侵容忍和敏感度之间矛盾问题的同时,还解决了攻击节点对单一节点发动攻击时造成的决策困难问题和恶意节点准确识别问题.

关键词: 信任值, 无线传感网安全, 信誉安全, 云模型

Abstract:

Consider the problems of decision-making and recognizing malicious nodes in traditional node reputation security scheme based on light-weighted cloud model, this paper proposes a Modified Light-weighted Cloud Model (MLCM) firstly, and a novel node reputation security scheme is given by then.In order to resolve trust misjudgment, direct and indirect trust values are treated comprehensively before its calculation with simplified backward cloud operator, on the basis of the traditional approach of wireless sensor network trust management on trust value.In addition, cloud membership function is leveraged to obtain recommendation trust value to improve accuracy of recognizing malicious nodes.The experiment shows that the scheme can not only work out the problem of contradiction between the intrusion tolerance and sensitivity but also figure out matter of decision-making and recognizing malicious nodes.

Key words: trust value, wireless sensor network security, reputation security, cloud mode

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