Please wait a minute...
 首页  期刊介绍 期刊订阅 联系我们 横山亮次奖 百年刊庆
 
最新录用  |  预出版  |  当期目录  |  过刊浏览  |  阅读排行  |  下载排行  |  引用排行  |  横山亮次奖  |  百年刊庆
清华大学学报(自然科学版)  2017, Vol. 57 Issue (1): 24-27    DOI: 10.16511/j.cnki.qhdxxb.2017.21.005
  计算机科学与技术 本期目录 | 过刊浏览 | 高级检索 |
基于信誉系统及数据噪声点检测技术的无线传感器网络节点安全模型
付俊松, 刘云
北京交通大学 通信与信息系统北京市重点实验室, 北京 100044
Node security model for wireless sensor networks based on a reputation system and data noise point detection technique
FU Junsong, LIU Yun
Key Laboratory of Communication and Information Systems of Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China
全文: PDF(1030 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 随着对无线传感器网络的广泛研究与应用,用户对传感器节点的安全性要求日益提高。由于传统基于密码学的信息安全技术并不能够完美地解决传感器节点面临的复杂安全威胁,信誉系统已经被引入到无线传感器网络中,对节点安全情况进行周期性评估,并分配相应的信誉值。由于信誉系统很难分辨一些节点的某些行为是否处于正常区间如监测数据是否准确,进而导致某些传感器节点能够躲避信誉系统的监测,对用户决策产生不良影响。本文提出了一种结合信誉系统和噪声点检测技术的无线传感器网络节点安全模型。一方面,网络中的信誉系统模块为噪声点检测模块提供数据支撑,以便高效检测到噪声点数据;另一方面,噪声点检测模块对信誉系统进行反馈,加速节点信誉值的收敛,提高系统效率。一系列的仿真表明,相比于传统信誉系统模型,改进后的节点安全模型能够同时检测到网络攻击和数据攻击,同时该模型具有更高的收敛速度。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
付俊松
刘云
关键词 无线传感器网络节点安全模型信誉系统数据噪声点检测    
Abstract:The increased number of wireless sensor networks requires security for the sensor nodes. Since traditional information security systems based on cryptography cannot serve the complex safety issues threatening sensor nodes, the reputation system has been introduced into wireless sensor networks to periodically evaluate security nodes and assign reputation values. However, the reputation system cannot always distinguish some abnormal behavior in the sensor nodes, such as the monitoring data accuracy. As a result, some nodes can avoid monitoring by the reputation system which will affect user decisions. This paper presents a wireless sensor network node security model combining the reputation system with data noise detection. The reputation system provides the node reputations to the data noise detection model to more effectively detect data noise. The data noise detection model then feeds information back to the reputation system which accelerates the convergence rate of the reputation system. Simulations show that this node security model can simultaneously detect network and data attacks better than the traditional credit system model with a higher convergence rate.
Key wordswireless sensor network    node security model    reputation system    data noise points detection
收稿日期: 2016-01-18      出版日期: 2017-01-20
ZTFLH:  TN929.5  
通讯作者: 刘云,教授,E-mail:liuyun@bjtu.edu.cn     E-mail: liuyun@bjtu.edu.cn
引用本文:   
付俊松, 刘云. 基于信誉系统及数据噪声点检测技术的无线传感器网络节点安全模型[J]. 清华大学学报(自然科学版), 2017, 57(1): 24-27.
FU Junsong, LIU Yun. Node security model for wireless sensor networks based on a reputation system and data noise point detection technique. Journal of Tsinghua University(Science and Technology), 2017, 57(1): 24-27.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.21.005  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I1/24
  图1 节点安全模型组成
  表1 节点i的信誉值列表
  图2 网络拓扑图
  图3 节点信誉值变化图
[1] Yu L, Wang N, Meng X. Real-time forest fire detection with wireless sensor networks[C]//International Conference on Wireless Communications, Networking and Mobile Computing, 2005. Shanghai:IEEE, 2005, 2:1214-1217.
[2] Mainwaring A, Culler D, Polastre J, et al. Wireless sensor networks for habitat monitoring[C]//Proceedings of the 1st ACM international Workshop on wireless sensor networks and applications. Atlanta, USA:ACM, 2002:88-97.
[3] Trossen D, Pavel D. Sensor networks, wearable computing, and healthcare applications[J]. Pervasive Computing, IEEE, 2007, 6(2):58-61.
[4] Herring C, Kaplan S. Component-based software systems for smart environments[J]. Personal Communications IEEE, 2000, 7(5):60-61.
[5] Perrig A, Szewczyk R, Tygar J D, et al. SPINS:Security protocols for sensor networks[J]. Wireless Networks, 2002, 8(5):521-534.
[6] Watro R, Kong D, Cuti S, et al. TinyPK:securing sensor networks with public key technology[C]//Proceedings of the 2nd ACM Workshop on Security of ad hoc and Sensor Networks. Washington, USA:ACM, 2004:59-64.
[7] Chen H, Han P, Yu B, et al. A new kind of session keys based on message scheme for sensor networks[C]//Asia-Pacific Conference Proceedings. Nanjing, China:IEEE, 2005:155-161.
[8] Ganeriwal S, Balzano L K, Srivastava M B. Reputation-based framework for high integrity sensor networks[J]. ACM Transactions on Sensor Networks (TOSN), 2008, 4(3):1-12.
[9] Ozdemir S. Functional reputation based data aggregation for wireless sensor networks[C]//IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2008. Avignon, France:IEEE, 2008:592-597.
[10] Roy S, Conti M, Setia S, et al. Secure data aggregation in wireless sensor networks[J]. IEEE Transactions on Information Forensics and Security, 2012, 7(3):1040-1052.
[11] Heinzelman W B, Chandrakasan A P, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks[J]. IEEE Transactions on Wireless Communications, 2002, 1(4):660-670.
[12] Younis O, Fahmy S. HEED:A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks[J]. IEEE Transactions on Mobile Computing, 2004, 3(4):366-379.
[13] Commerce B E, Jøsang A, Ismail R. The beta reputation system[C]//In Proceedings of the 15th Bled Electronic Commerce Conference. Bled, Slovenia:e-Reality, 2002:1-14.
[14] Ester, Martin, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]//Knowledge Discovery and Data Mining. Portland, USA:ACM, 1996:1-6.
[15] Crosby G V, Pissinou N. Cluster-based reputation and trust for wireless sensor networks[C]//Consumer Communications and Networking Conference. Las Vegas, NV, USA:IEEE, 2007:604-608.
[1] 苘大鹏, 王臣业, 杨武, 王巍, 玄世昌, 靳小鹏. 低能耗的无线传感器网络隐私数据融合方法[J]. 清华大学学报(自然科学版), 2017, 57(2): 213-219.
[2] 周彩秋, 杨余旺, 王永建. 无线传感器网络节点行为度量方案[J]. 清华大学学报(自然科学版), 2017, 57(1): 39-43.
[3] 蔡劼, 顾明. 基于IEEE 802.15.4的星形拓扑无线传感器网络性能分析[J]. 清华大学学报(自然科学版), 2015, 55(5): 565-571.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《清华大学学报(自然科学版)》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn