[1]沈海波,姜海涛,庄克琛,等.基于人工免疫的无线传感器网络信任检测方法[J].南京理工大学学报(自然科学版),2014,38(03):318.
 Shen Haibo,Jiang Haitao,Zhuang Kechen,et al.Artificial immunitybased trust detection method for wireless sensor networks[J].Journal of Nanjing University of Science and Technology,2014,38(03):318.
点击复制

基于人工免疫的无线传感器网络信任检测方法
分享到:

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
38卷
期数:
2014年03期
页码:
318
栏目:
出版日期:
2014-06-30

文章信息/Info

Title:
Artificial immunitybased trust detection method for wireless sensor networks
作者:
沈海波姜海涛庄克琛张宏
南京理工大学 计算机科学与工程学院,江苏 南京 210094
Author(s):
Shen HaiboJiang HaitaoZhuang KechenZhang Hong
School of Computer Science and Engineering,NUST,Nanjing 210094,China
关键词:
人工免疫无线传感器网络信任检测分簇簇头节点信任值阴性选择算法检测器基站成员节点
Keywords:
artificial immunitywireless sensor networkstrust detectionclusteringcluster head nodestrust valuesnegative selection algorithmdetectorsbase stationsmember nodes
分类号:
TP393
摘要:
针对传统的基于分簇的无线传感器网络(WSNs)信任评价模型中,簇头节点因负担大量的计算工作而降低网络生存时间的问题,提出一种通过人工免疫评估WSNs中节点信任值的方法。该方法运用阴性选择算法产生检测器,由基站根据检测器进行节点的信任检测,不需要簇头节点聚合成员节点的信任值,只要求簇头节点将成员节点的信任属性发送给基站,降低了簇头节点的负担,延长了WSNs的生存时间。仿真实验结果表明,该方法在延长网络生存时间的同时,与已有方法相比具有较高的检测率,在非信任节点数不超过40%时,检测率高于90%。
Abstract:
Aiming at the problem that the network lifetimes of cluster head nodes are reduced because of a large number of computations to do in traditional trust evaluation models of wireless sensor networks(WSNs) based on clustering,an artificial immune method is proposed to evaluate the trust values of nodes in WSNs.Base stations use detectors generated by the negative selection algorithm for trust detection of nodes.Cluster head nodes send the trust properties of member nodes to base stations instead of aggregating the trust values of member nodes.The burdens on the cluster head nodes are cut and the lifetimes of WSNs are extended.The simulation results show that the method proposed here extends network lifetimes and has higher detection rates compared with existing methods.When the percentages of nonconfidence nodes are not more than 40%,the detection rates are above 90%.

参考文献/References:

[1]Wong E Y C,Yeung H S C,Lau H Y K.Immunitybased hybrid evolutionary algorithm for multiobjective optimization in global container repositioning[J].Engineering Applications of Artificial Intelligence,2009,22(6):842-854.
[2]Zhou Dexin,Fan Zhicheng,Zhang Wenlin.Research on AMU fault detection algorithm based on immune danger theory[A].Proceedings of the 2011 Chinese Control and Decision Conference[C].Mianyang,China:IEEE,2011:1957-1961.
[3]Okamoto T,Ishida Y.Evaluations for immunitybased anomaly detection with dynamic updating of profiles[J].Artificial Life and Robotics,2010,15(2):225-228.
[4]廖俊,刘耀宗,姜海涛,等.基于人工免疫的MANET不端行为检测模型[J].南京理工大学学报,2011,35(5):652-658.
Liao Jun,Liu Yaozong,Jiang Haitao,et al.Artificial immunitybased misbehavior detection architecture for mobile ad hoc networks[J].Journal of Nanjing University of Science and Technology,2011,35(5):652-658.
[5]Shaikh R A,Jameel H,d’Auriol B J,et al.Groupbased trust management scheme for clustered wireless sensor networks[J].IEEE Transactions on Parallel and Distributed Systems,2009,20(11):1698-1712.
[6]Zhang Junqi,Shankaran R,Orgun M A,et al.A trust management architecture for hierarchical wireless sensor networks[A].Proceedings of 2010 IEEE 35th Conference on Local Computer Networks[C].Denver,USA:IEEE,2010:264-267.
[7]Zhou Youcai,Huang Tinglei,Wang Wei.A trust establishment scheme for clusterbased sensor networks[A].Proceedings of the 2009 5th International Conference on Wireless Communications,Networking and Mobile Computing[C].Beijing,China:IEEE,2009:1-4.
[8]Zhao Zhibin,Dong Xiaomei,Yao Lan,et al.Research on biological immunity principle based security model for wireless sensor network[A].Proceedings of the 2009 Chinese Control and Decision Conference[C].Guilin,China:IEEE,2009:4687-4691.
[9]Junbeom H,Younho L,Hyunsoo Y,et al.Trust evaluation model for wireless sensor networks[A].The 7th International Conference on Advanced Communication Technology,2005,ICACT 2005[C].Phoenix Park,GangwonDo,Korea:IEEE,2005:491-496.
[10]Hu Ronghua,Lou Peihuang,Zhao Peng.A novel approach of detector generation for realvalued negative selection algorithm[J].Applied Mechanics and Materials,2012,121-126:3736-3740.

相似文献/References:

[1]王力立,徐志良,吴晓蓓,等.感知能力异构的无线传感器网络优化部署机制[J].南京理工大学学报(自然科学版),2012,36(03):408.
 WANG Li-li,XU Zhi-liang,WU Xiao-bei,et al.Optimal Deployment Scheme in Sensing-heterogeneous Wireless Sensor Networks[J].Journal of Nanjing University of Science and Technology,2012,36(03):408.
[2]杨靖,秦宁宁,徐迈,等.传感器网络中基于簇的多路径路由协议[J].南京理工大学学报(自然科学版),2012,36(01):49.
 YANG Jing,QIN Ning-ning,XU Mai,et al.Cluster-based Multipath Routing Protocol for Wireless Sensor Networks[J].Journal of Nanjing University of Science and Technology,2012,36(03):49.
[3]高德民,钱焕延,严筱永,等.无线传感器网络最大生命期数据融合算法[J].南京理工大学学报(自然科学版),2012,36(01):55.
 GAO De-min,QIAN Huan-yan,YAN Xiao-yong,et al.Maximum Lifetime Data Aggregation Algorithm for Wireless Sensor Networks[J].Journal of Nanjing University of Science and Technology,2012,36(03):55.
[4]刘宇雷,秦小麟,沈佳佳.能量有效的传感器网络不规则区域时空查询处理算法[J].南京理工大学学报(自然科学版),2011,(01):31.
 LIU Yu-lei,QIN Xiao-lin,SHEN Jia-jia.Energy-efficient Spatio-temporal Query Processing Algorithm on Irregular Region over Sensor Network[J].Journal of Nanjing University of Science and Technology,2011,(03):31.
[5]蒋立平,谭雪琴,姜萍.数据关联的分布式算法[J].南京理工大学学报(自然科学版),2010,(02):243.
 JIANG Li-ping,TAN Xue-qin,JIANG Ping.Distributed Data Association Algorithm[J].Journal of Nanjing University of Science and Technology,2010,(03):243.
[6]向浩,李堃,袁家斌,等.基于6LoWPAN的IPv6无线传感器网络[J].南京理工大学学报(自然科学版),2010,(01):56.
 XIANG Hao,LI Kun,YUAN Jia-bin.IPv6 Wireless Sensor Network Based on 6LoWPAN[J].Journal of Nanjing University of Science and Technology,2010,(03):56.
[7]嵇玮玮.能量有效的无线传感器网络节点选择[J].南京理工大学学报(自然科学版),2009,(04):495.
 JI Wei-wei,LIU Zhong.Energy-efficient Node Selection in Wireless Sensor Networks[J].Journal of Nanjing University of Science and Technology,2009,(03):495.
[8]张捷,薄煜明,吕 明,等.无线传感器网络控制系统故障检测[J].南京理工大学学报(自然科学版),2012,36(06):0.
 ZHANG Jie,BO Yu ming,LV Ming,et al.Fault Detection for Wireless Sensor Networked Control Systems[J].Journal of Nanjing University of Science and Technology,2012,36(03):0.
[9]张生凤,徐志良,吴晓蓓,等.无线传感器网络覆盖空洞动态完全修复[J].南京理工大学学报(自然科学版),2013,37(06):816.
 Zhang Shengfeng,Xu Zhiliang,Wu Xiaobei,et al.Dynamic full repairing of coverage holes in wireless sensor networks[J].Journal of Nanjing University of Science and Technology,2013,37(03):816.
[10]陈 莹,李影洁,朱思峰.基于群智能算法的WSNs动态联盟任务协同[J].南京理工大学学报(自然科学版),2014,38(04):537.
 Chen Ying,Li Yingjie,Zhu Sifeng.Dynamic alliance collaborative tasks of WSNs based on swarm intelligence algorithm[J].Journal of Nanjing University of Science and Technology,2014,38(03):537.

备注/Memo

备注/Memo:
收稿日期:2012-10-24修回日期:2013-03-15
基金项目:国家自然科学基金(60903027;61272419);江苏省973项目(BK2011023)
作者简介:沈海波(1987-),男,博士生,主要研究方向:无线传感器网络安全,E-mail:hbshen29@163.com;通讯作者:张宏(1956-),男,教授,博士生导师,主要研究方向:网络性能与信息安全,E-mail:zhhong@njust.edu.cn。
引文格式:沈海波,姜海涛,庄克琛,等.基于人工免疫的无线传感器网络信任检测方法[J].南京理工大学学报,2014,38(3):318-324.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2014-06-30