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基于EBS的动态密钥管理方法共谋问题
  • ISSN号：1000-9825
  • 期刊名称：《软件学报》
  • 时间：0
  • 分类：TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]清华大学自动化系,北京100084, [2]清华大学电机工程与应用电子技术系电力系统及发电设备安全控制和仿真国家重点实验室,北京100084
  • 相关基金：Supported by the National Natural Science Foundation of China under Grant Nos.69774011, 60433050 （国家自然科学基金）
作者： 孔繁瑞[1], 李春文[1], 丁青青[2], 焦飞[2], 谷琦彬[2]
关键词： 无线传感器网络, 安全性, 基于EBS的动态密钥管理, 共谋问题, 离散粒子群算法, wireless sensor networks, security, EBS-based dynamic key management, collusion problem, DPSO
中文摘要：

设计安全、合理的密钥管理方法是解决无线传感器网络安全性问题的核心内容．基于exclusion basis system（EBS）的动态密钥管理方法由于安全性高，动态性能和可扩展性好，受到了广泛关注．但在这种方法中存在共谋问题，即对于被捕获节点通过共享各自信息实施的联合攻击抵抗性较差．针对这一问题，分析了传感器节点形成共谋过程中的特点，以最短共谋链的长度为目标提出了共谋问题的优化模型．在此基础上，提出了基于离散粒子群算法的无线传感器网络共谋问题优化方法．仿真实验结果表明，与前人的工作相比，采用此优化模型和方法不仅提高了捕获网络难度，而且显著增强了网络对捕获节点的抵抗性．

英文摘要：

The security of wireless sensor networks has attracted much attention in recent years and the key management is the focus. EBS-based dynamic key management scheme is a new approach for wireless sensor networks. Its major advantages are its enhanced network survivability, high dynamic performance and better support for network expansion. But it suffers from the collusion problem, which means it is prone to the cooperative attack of the compromised nodes. In this paper, the feature of the collusion problem is analyzed and an optimization model is proposed, maximizing the length of the shortest collusion chain, which is the key issue of the problem. A discrete particle swarm optimization algorithm for the collusion problem is also presented based on the optimization model proposed. Simulation results show that compared with the former works, the resilience of the network and the difficulty to compromise the whole network are both greatly improved.

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期刊信息
  • 《软件学报》
  • 北大核心期刊（2011版）
  • 主管单位:中国科学院
  • 主办单位:中国科学院软件研究所 中国计算机学会
  • 主编：赵琛
  • 地址：北京8718信箱中国科学院软件研究所
  • 邮编：100190
  • 邮箱：jos@iscas.ac.cn
  • 电话：010-62562563
  • 国际标准刊号：ISSN：1000-9825
  • 国内统一刊号：ISSN：11-2560/TP
  • 邮发代号:82-367
  • 获奖情况:
  • 2001年入选中国期刊方阵“双百期刊”,2000年荣获中国科学院优秀科技期刊一等奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国数学评论（网络版）,波兰哥白尼索引,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:54609