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可抵御节点恶意行为的锚节点型IP坐标系统
引用本文:黄琼,王万新,阳小龙,隆克平.可抵御节点恶意行为的锚节点型IP坐标系统[J].电子科技大学学报(自然科学版),2012,41(2):285-290.
作者姓名:黄琼  王万新  阳小龙  隆克平
作者单位:1.重庆邮电大学移动通信技术重点实验室 重庆 南岸区 400065;
基金项目:国家973计划(2007CB310706,2012CB315905);国家自然科学基金(60932005,61172048,61100184);国家科技重大专项(2011ZX03005-004-02);教育部新世纪优秀人才计划(NCET-09-0268);四川省青年基金(09ZQ026-032);重庆市教委科研项目(KJ100514)
摘    要:锚节点型IP坐标系统的性能受锚节点选择与布局情况以及节点恶意行为的影响较大,由此提出了一种新的可抵御节点恶意行为的锚节点型IP坐标系统(LCSD),锚节点按聚类最优化选择与布局,并采用协作推荐信任评估机制限制恶意节点对其他节点坐标更新的影响。从相对误差、邻居度和最近邻居可信度等方面分析了LCSD.结果表明与ICS相比,LCSD相对误差更小;不论恶意节点比例大小,LCSD邻居度和最近邻居可信度都较优越。

关 键 词:时延    IP坐标系统    IP网络    锚节点
收稿时间:2010-03-16

Landmark-Based IP Coordinate System with Defend-Capable Malicious Behaviors
HUANG Qiong,WANG Wan-xin,YANG Xiao-long,LONG Ke-ping.Landmark-Based IP Coordinate System with Defend-Capable Malicious Behaviors[J].Journal of University of Electronic Science and Technology of China,2012,41(2):285-290.
Authors:HUANG Qiong  WANG Wan-xin  YANG Xiao-long  LONG Ke-ping
Affiliation:1.Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications Nan'an Chongqing 400065;2.School of Communication and Information Engineering,University of Electronic Science and Technology of China Chengdu 631711;3.School of Computer and Communication Engineering,University of Science and Technology Beijing Haidian Beijing 100083
Abstract:The distance prediction performances of landmark-based IP coordinate system are sensitive to the selection and placement of landmarks and the malicious behaviors of some hostile nodes, which have greatly impact on the accuracy and trustiness of the predicted distances for most of applications. This paper proposes a new landmark-based IP coordinate system with defend-capable malicious behaviors (for short LCSD), in which the selection and placement of landmarks are optimized through the distance matrix clustering scheme, the malicious behaviors of hostile nodes are prohibited to disturb the coordinate update of the normal nodes through the cooperative recommending trust-evaluation mechanism. Finally by some simulations, its performances are analyzed in terms of the relative error (RE), the neighbor approximation degree. The closest neighbor trust degree, and the results show that LCSD has much smaller RE on the whole, and outperforms ICS in the neighborhood in despite of the proportion of hostile nodes to the all nodes.
Keywords:
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