Data processing based on the privacy-preserving vector for wireless sensor networks

Wei-ni ZENG; Ya-ping LIN; Ye-qing YI; Shi-ming HE; Peng CHEN

doi:10.11959/j.issn.1000-436x.2015250

您当前的位置：

首页 >

文章列表页 >

Data processing based on the privacy-preserving vector for wireless sensor networks

academic paper | 更新时间：2024-06-05

- Data processing based on the privacy-preserving vector for wireless sensor networks
- Journal on Communications Vol. 36, Issue 9, Pages: 34-46(2015)
- 作者机构：
  
  1. 中国船舶重工集团第716研究所，江苏连云港 222006
  2. 湖南大学信息科学与工程学院，湖南长沙 410082
  3. 湖南人文科技学院信息科学与工程系，湖南娄底 417000
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61303045);The National Natural Science Foundation of China(61472125);The National Natural Science Foundation of China(61472135)
- DOI：10.11959/j.issn.1000-436x.2015250
  CLC： TP393;TP309
- Online First：2015-09，
  
  Published：25 September 2015
- 稿件说明：
移动端阅览
Wei-ni ZENG, Ya-ping LIN, Ye-qing YI, et al. Data processing based on the privacy-preserving vector for wireless sensor networks[J]. Journal on Communications, 2015, 36(9): 34-46.
DOI：

Wei-ni ZENG, Ya-ping LIN, Ye-qing YI, et al. Data processing based on the privacy-preserving vector for wireless sensor networks[J]. Journal on Communications, 2015, 36(9): 34-46. DOI： 10.11959/j.issn.1000-436x.2015250.

摘要

针对传感器网络数据处理中的隐私保护需求，提出了新的分布式机制。构造了隐私向量，并设计了低能耗的隐私向量生成方法及使用方法，从而可有效实现求和、求最值及压缩等各类处理中的数据隐私保护。提出了种子分发算法，保证了隐私向量的安全动态生成。理论分析和仿真实验表明，与已有同类机制相比，新机制不仅能更好地抵御节点俘获攻击，具有更高的隐私保护有效性，且更为能量有效。

Abstract

To solve the privacy disclosing problem during the data processing phase of wireless sensor networks

a dis-tributed mechanism was proposed.Privacy-preserving vector (vector for short) was constructed.Moreover

lightweight method for vector generation and novel method for using the vector were also presented.Thus

the methods were able to solve the privacy-preserving problem for various data processing funtions such as max/min and data compression effi-ciently.An algorithm based on data hiding and slice was given and then the vector was able to be generated securely and dynamically.Extensive analyses and experiments show that the mechanism is more robust to node compromise attack and thus can preserve privacy more efficiently.Moreover

the mechanism consumes less power.

关键词

Keywords

references

杨庚，许健，陈伟，等 . 物联网安全特征与关键技术 [J ] . 南京邮电大学学报 ( 自然科学版 ), 2010 , 30 ( 4 ): 20 - 29 .

YANG G , XU J , CHEN W , et al . Security characteristic and technol-ogy in the Internet of things [J ] . Journal of Nanjing University of Posts and Telecommunications ( Natural Science ), 2010 , 30 ( 4 ): 20 - 29 .

李仁发，谢勇，李蕊，等 . 信息-物理融合系统若干关键问题综述 [J ] . 计算机研究与发展， 2012 , 49 ( 6 ): 1149 - 1161 .

LI R F , XIE Y , LI R . Survey of cyber-physical systems [J ] . Journal of Computer Research and Development , 2012 , 49 ( 6 ): 1149 - 1161 .

范永健，陈红，张晓莹 . 无线传感器网络数据隐私保护技术 [J ] . 计算机学报， 2012 , 35 ( 6 ): 1131 - 1146 .

FANG Y J , CHEN H , ZANG X Y . Data privacy preservation in wire-less sensor networks [J ] . Chinese Journal of Computers , 2012 , 35 ( 6 ): 1131 - 1146 .

HE W , LIU X , NGUYEN H , et al . PDA:privacy-preserving data aggregation in wireless sensor networks [A ] . Proceedings INFOCOM 2007:26th IEEE International Conference on Computer Communica-tions [C ] . Piscataway:IEEE Press , 2006 . 165 - 168 .

杨庚，王安琪，陈正宇，等 . 一种低耗能的数据融合隐私保护算法 [J ] . 计算机学报 , 2011 , 34 ( 5 ): 792 - 800 .

YANG G , WANG A Q , CHEN X Y , et al . An energy_saving privacy-preserving data aggregation algorithm [J ] . Chinese Journal of Com-puters , 2011 , 34 ( 5 ): 792 - 800 .

周强，杨庚，李森，等 . 一种可检测数据完整性的隐私数据融合算法 [J ] . 电子与信息学报 , 2013 , 35 ( 6 ): 1277 - 1283 .

ZHOU Q , YANG G , LI S , et al . An integrity-checking private data ag-gregation algorithm [J ] . Journal of Electronics &Information Tech-nology , 2013 , 35 ( 6 ): 1277 - 1283 .

CASTELLUCCIA C , CHAN A , MYKLETUN E , et al . Efficient and provably secure aggregation of encrypted data in wireless sensor net-works [J ] . ACM Transactions on Sensor Networks . 2009 , 5 ( 3 ): 1 - 36 .

FENG T , WANG C , ZHANG W , et al . Confidentiality protection schemes for data aggregation in sensor networks [A ] . Proceedings INFOCOM 2008:27th IEEE International Conference on Computer Communications [C ] . Piscataway:IEEE Press , 2008 . 131 - 146 .

CONTI M , ZHANG L , ROY S , et al . Privacy-preserving robust data aggregation in wireless sensor networks [J ] . Security and Communica-tion Networks , 2009 , 2 ( 2 ): 195 - 213 .

曾玮妮，林亚平，何施茗，等 . 无线传感器网络中基于隐私保护元的数据聚合机制 [J ] . 通信学报 , 2012 , 10 ( 6 ): 16 - 25 .

ZENG W N , LIN Y P , HE S M , et al . A data aggregation scheme based on privacy- preserving element for wireless sensor networks [J ] . Journl on Communictions , 2012 , 10 ( 6 ): 16 - 25 .

JUNG T , MAO F , LI X , et al . Privacy-preserving data aggregation with-out secure channel:multivariate polynomial evaluation [A ] . Proceedings INFOCOM 2013:32th IEEE International Conference on Computer Communications [C ] . Piscataway:IEEE Press , 2013 . 2634 - 2642 .

GREUNEN J , RABAEY J . Lightweight time synchronization for sensor networks [A ] . Proceedings of the Second ACM International Workshop on Wireless Sensor Networks and Applications,WSNA 2003 [C ] .Association for Computing Machinery, 2003 . 11 - 19 .

ZHANG W , WANG C , FENG T . GP 2 S:Generic privacy-preservation solutions for approximate aggregation of sensor data [A ] . Proceedings of the 6th Annual IEEE International Conference on Pervasive Com-puting and Communications,PerCom 2008 [C ] . Hongkong,China , 2008 .

GROAT M , HE W , FORREST S . KIPDA:k-indistinguishable pri-vacy-preserving data aggregation in wireless sensor networks [A ] . Pro-ceedings INFOCOM 2011:30th IEEE International Conference on Com-puter Communications [C ] . Piscataway:IEEE Press , 2011 . 2024 - 2032 .

ZHANG W , TRAN M N , ZHU S , et al . A random perturbation-based scheme for pairwise key establishment in sensor networks [A ] . Mobi-Hoc'07:Proceedings of the Eighth ACM International Symposium on Mobile Ad Hoc Networking and Computing [C ] . New York ,Associa-tion for Computing Machinery, 2007 . 90 - 99 .

ALI F , MEHDI B , HOSSEIN S , et al . A high performance and intrin-sically secure key establishment protocol for wireless sensor net-works [J ] . Computer Networks , 2011 , 55 ( 8 ): 1849 - 1863 .

MADDEN S , FRANKLIN M , HELLERSTEIN J , et al . Tag:a tiny aggregation service for ad-hoc sensor networks [J ] . SIGOPS Oper yst Rev , 2002 , 36 : 131 - 146 .

GOBRIEL S , KHATTAB S , MOSSE D , et al . Ridesharing:fault tol-erant aggregation in sensor networks using corrective actions [A ] . Pro-ceeding of the Sensor and Ad Hoc Communications and Networks,2006.SECON '06 [C ] . Reston,VA , 2006 .

PERRIG A , SZEWCZYK R , WEN V , et al . SPINS:security protocols for sensor networks [A ] . Proceedings of the Seventh Annual Interna-tional Conference on Mobile Computing and Networks [C ] . Rome,Italy , 2001 .

WANDER A S , GURA N , EBERLE H , et al . Energy analysis of pub-lic-key cryptography for wireless sensor networks [A ] . Proceedings -Third IEEE International Conference on Pervasive Computing and Communications,PerCom 2005 [C ] . Kauai Island,HI,United States , 2005 .

Views

1349

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Data aggregation based on the privacy-preserving element in wireless sensor networks

Optimization method for data processing in digital twin-enabled computing power network for industrial production

Programmable data processing method and system design for polymorphic network

Efficient privacy-preserving decision tree classification protocol

Privacy risk adaptive access control model via evolutionary game

Related Author

Wei-ni ZENG

Ya-ping LIN

Jian-ping YU

WU Shuang

XIE Renchao

TANG Qinqin

XIE Gaochang

HUANG Tao

Related Institution

College of Mathematics and Computer Science,Hunan Normal University

The 716th Research Institute,China Shipbuilding Industry Corporation

Purple Mountain Laboratories

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications

The Institute of Acoustics of the Chinese Academy of Sciences

AI问答

⁰