ONSA：传感网中基于优化非均匀统计特性的源匿名协议

doi:10.11959/j.issn.1000-436x.2015143

通信学报 ›› 2015, Vol. 36 ›› Issue (6): 66-77.doi: 10.11959/j.issn.1000-436x.2015143

ONSA：传感网中基于优化非均匀统计特性的源匿名协议

牛晓光^1,²,魏川博^1,²,冯为江^1,³,彭国军^1,²(),张焕国^1,²

¹ 武汉大学计算机学院，湖北武汉430072
² 武汉大学空天信息安全与可信计算教育部重点实验室，湖北武汉 430072
³ 国防科学技术大学计算机学院，湖南长沙 410073

出版日期:2015-06-25 发布日期:2017-05-11
基金资助:
国家重点基础研究发展计划(973计划)基金资助项目;国家高技术研究发展计划(863计划)基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;长江学者和创新团队发展基金资助项目;湖北省自然科学基金资助项目

ONSA:optimal non-uniformly statistic-source anonymity protocol in WSN

Xiao-guang NIU^1,²,Chuan-bo WEI^1,²,Wei-jiang FENG^1,³,Guo-jun PENG^1,²(),Huan-guo ZHANG^1,²

¹ School of Computer Science,Wuhan University,Wuhan 430072,China
² Key Laboratory of Aerospace Information Security and Trusted Computing MOE,Wuhan University,Wuhan 430072,China
³ School of Computer Science,National University of Defense Technology,Changsha 410073,China

Online:2015-06-25 Published:2017-05-11
Supported by:
The National Key Basic Research Program of China (973 Program);The National High Technology Research and Development Program of China (863 Program);The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Program for Changjiang Scholars and Innovative Research Team in University (IRT1278);The Natural Science Foundation of Hubei Province

摘要/Abstract

摘要：

针对无线传感网中分级信源位置隐私保护协议的特点，对不同尺寸簇及虚假信息注入统计特性在隐私性、延时和网络负载等方面进行了分析，在此基础上提出了基于优化非均匀统计特性的源匿名协议(ONSA)，以优化非均匀分簇策略及相应符合非均匀统计特性的分级优化虚假信息注入方式来高效地保护信源节点位置隐私。仿真实验结果表明，与现有方法相比，ONSA能有效减少并均衡网络能量消耗，同时满足源位置隐私保护任务的实时性要求。

关键词: 无线传感网, 源位置隐私保护, 虚假数据分组注入, 非均匀统计特征, 全局攻击

Abstract:

According to the characteristics of hierarchical event source-location privacy (SLP) in wireless sensor networks (WSN).Firstly,the effect of the cluster size and the statistical property of fake packet injection on the privacy,latency and network traffic were analyzed.Then,an optimal non-uniformly statistic-source anonymity protocol (ONSA)was proposed to achieve source anonymity and reduce the network traffic.ONSA is designed to achieve a tradeoff between network traffic and real event report latency through adjusting the transmission rate and the radius of non-uniform clusters.The simulation results demonstrate that ONSA significantly reduces the network traffic while providing source anonymity and meeting the system requirement of the delay.

Key words: wireless sensor networks, source location privacy protection, fake packet injection, non-uniformly statistic;global attacker

牛晓光,魏川博,冯为江,彭国军,张焕国. ONSA：传感网中基于优化非均匀统计特性的源匿名协议[J]. 通信学报, 2015, 36(6): 66-77.

Xiao-guang NIU,Chuan-bo WEI,Wei-jiang FENG,Guo-jun PENG,Huan-guo ZHANG. ONSA:optimal non-uniformly statistic-source anonymity protocol in WSN[J]. Journal on Communications, 2015, 36(6): 66-77.

图/表 9

图1

图2

图3

图4

图5

图6

图7

图8

图9

参考文献 20

[1]	OZTURK C , ZHANG Y , TRAPPE W . Source-location privacy in energy-constrained sensor network routing[A]. Proc of ACM SASN,Washington[C]. DC,USA, 2004. 88-93.
[2]	KAMAT P , ZHANG Y , TRAPPE W ,et al. Enhancing source-location privacy in sensor network routing[A]. Proc of IEEE ICDCS[C]. Columbus,OH,USA, 2005. 599-608.
[3]	CONTI M , WILLEMSEN J , CRISPO B . Providing source location privacy in wireless sensor networks:a survey[J]. IEEE Communications Surveys & Tutorials, 2013,15(3): 1238-1280.
[4]	SHAO M , YANG Y , ZHU S ,et al. Towards statistically strong source anonymity for sensor networks[A]. Proc of IEEE INFOCOM[C]. Phoenix,AZ,USA, 2008. 51-55.
[5]	AHN G.S. , HONG S.G. , MILUZZO E . Funneling-MAC:a localized,sink-oriented MAC for boosting fidelity in sensor networks[A]. Proc of ACM SenSys[C]. Boulder,Colorado,USA, 2006. 293-306.
[6]	YANG Y , SHAO M , ZHU S ,et al. Towards event source unobservability with minimum network traffic in sensor networks[A]. Proc of ACM WiSec[C]. Alexandria,Virginia,USA, 2008. 77-88.
[7]	陈娟, 方滨兴, 殷丽华 ,等. 传感器网络中基于源节点有限洪泛的源位置隐私保护协议[J]. 计算机学报, 2010,33(9): 1736-1747. CHEN J , FANG B X , YIN L H ,et al. A source-location privacy preservation protocol in wireless sensor networks using source-based restricted flooding[J]. Chinese Journal of Computers, 2010,33(9): 1736-1747.
[8]	XI Y , SCHWIEBERT L , SHI W . Preserving source location privacy in monitoring-based wireless sensor networks[A]. Proc of IEEE IPDPS[C]. Rhodes Island,Greece, 2006. 1-8.
[9]	LI Y , REN J . Source-location privacy through dynamic routing in wireless sensor networks[A]. Proc of IEEE INFOCOM[C]. San Diego,California,USA, 2010. 1-9.
[10]	YAO L , KANG L , DENG F ,et al. Protecting source–location privacy based on multirings in wireless sensor networks[J].Concurrency Computat.:Pract.Exper,2013.DOI:10.1002/cpe.3075.
[11]	OUYANG Y , LE Z , CHEN G ,et al. Entrapping adversaries for source protection in sensor networks[A]. Proc of IEEE WoWMoM[C]. NewYork,USA, 2006. 23-34.
[12]	RIOS R , LOPEZ J . Exploiting context-awareness to enhance source-location privacy in wireless sensor networks[J]. Computer Journal, 2011,54(10): 1603-1615.
[13]	MEHTA K , LIU D , WRIGHT M . Location privacy in sensor networks against a global eavesdropper[A]. Proc of IEEE ICNP[C]. Beijing,China, 2007. 314-323.
[14]	ALOMAIR B , CLARK A , CUELLAR J ,et al. Towards a statisticalframework for source anonymity in sensor networks[J]. IEEE Trans on Mobile Computing , 2013,12(2): 248-260.
[15]	CUELLAR J , POOVENDRAN R . Toward a statistical framework for source anonymity in sensor networks[J]. IEEE Trans on Mobile Computing, 12(2): 248-260. 2013.
[16]	MEHTA K , LIU D , WRIGHT M . Protecting location privacy in sensor networks against a global eavesdropper[J]. IEEE Trans on Mobile Computing, 2012,11(2): 320-336.
[17]	MAHMOUD M M , SHEN X S . Secure and efficient source location privacy preserving scheme for wireless sensor networks[A]. Proc of IEEE ICC[C]. Ottawa,CANADA, 2012. 1-5.
[18]	LIGHTFOOT L , LI Y , REN J . Preserving source-location privacy in wireless sensor network using Star routing[A]. Proc of IEEE Globecom[C]. Miami,Florida,USA, 2010. 1-5.
[19]	MAHMOUD M M , SHEN X S . A cloud-based scheme for protecting source-location privacy against hotspot-locating attack in wireless sensor networks[J]. IEEE Trans on Parallel and Distributed Systems, 2012,23(10): 1805-1818.
[20]	LI Y , REN J , WU J . Quantitative measurement and design of sourcelocation privacy schemes for wireless sensor networks[J]. IEEE Trans on Parallel and Distributed Systems, 2012,23(7): 1302-1311.

ONSA：传感网中基于优化非均匀统计特性的源匿名协议

ONSA:optimal non-uniformly statistic-source anonymity protocol in WSN

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 20

相关文章 15

Metrics

推荐阅读 0

[1]	王田,沈雪微,罗皓,陈柏生,王国军,贾维嘉. 基于雾计算的可信传感云研究进展[J]. 通信学报, 2019, 40(3): 170-181.
[2]	梁俊斌,周翔,李陶深. 移动低占空比无线传感网中低能耗的主动邻居发现算法[J]. 通信学报, 2018, 39(4): 45-55.
[3]	王田,李洋,贾维嘉,王国军,彭绍亮. 传感云安全研究进展[J]. 通信学报, 2018, 39(3): 35-52.
[4]	张策,李鸥,童昕,杨延平. 基于压缩感知与矩阵补全技术的WSN数据收集算法[J]. 通信学报, 2018, 39(2): 164-173.
[5]	纪祥敏,赵波,刘金会,贾建卫,张焕国,向騻. 基于对称矩阵分解的无线传感网密钥恢复攻击[J]. 通信学报, 2018, 39(10): 87-96.
[6]	王天舒,张功萱,杨曦晨. 基于ZigBee的无线传感网可信溶液监测系统[J]. 通信学报, 2017, 38(Z2): 67-77.
[7]	周光海,宁兆龙,陈志奎,钟华,胡月明. 基于核偏最小二乘法的物联网无线传感网络故障分析与研究[J]. 通信学报, 2017, 38(Z2): 94-98.
[8]	蔡青松,陈希厚. 无线传感网中基于谱矩的链路优化策略[J]. 通信学报, 2017, 38(Z2): 170-177.
[9]	舒坚,刘满兰,郑巍. 基于AdaBoost的链路质量预测机制研究[J]. 通信学报, 2017, 38(Z1): 39-45.
[10]	张策,张霞,李鸥,梅关林,韩哲,张大龙,刘广怡. 不可靠链路下基于压缩感知的WSN数据收集算法[J]. 通信学报, 2016, 37(9): 131-141.
[11]	牛晓光,魏川博,姚亚兰. 传感网中能量均衡高效的源位置隐私保护协议[J]. 通信学报, 2016, 37(4): 23-33.
[12]	徐琨,刘宏立,詹杰,马子骥. 容忍恶意攻击的无线传感网络安全定位算法[J]. 通信学报, 2016, 37(12): 95-102.
[13]	仲红,张庆阳,田立超,王良民. 基于分布式密钥共享的UWSN安全分簇方案[J]. 通信学报, 2015, 36(5): 31-39.
[14]	陈权,高宏. 低占空比无线传感器网络中基于动态切换的实时路由协议[J]. 通信学报, 2015, 36(10): 224-234.
[15]	魏嵬,张亮,郭得科,沈沛意. 信息扩散在无线传感器网络中的应用[J]. 通信学报, 2012, 33(Z2): 146-152.