传感器网络数据处理中基于隐私向量的隐私保护机制

曾玮妮; 林恸平; 易叶青; 何施茗; 陈鹏

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

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传感器网络数据处理中基于隐私向量的隐私保护机制

学术论文 | 更新时间：2024-06-05

- 传感器网络数据处理中基于隐私向量的隐私保护机制
- Data processing based on the privacy-preserving vector for wireless sensor networks
- 通信学报 2015年36卷第9期页码：34-46
- 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：
  
  [ "曾玮妮（1982-），女，湖南邵阳人，博士，中国船舶重工集团第716研究所高级工程师，主要研究方向为网络安全、可信计算。" ]
  [ "林亚平（1955-），男，湖南邵阳人，博士，湖南大学教授、博士生导师，主要研究方向为通信网络、机器学习。" ]
  [ "易叶青（1976-），男，湖南邵阳人，博士，湖南人文科技学院副教授，主要研究方向为传感器网络安全。" ]
  [ "何施茗（1986-），女，湖南永州人，湖南大学博士生，主要研究方向为无线网络。" ]
  [ "陈鹏（1977-），男，湖北十堰人，博士，中国船舶重工集团第716研究所高级工程师，主要研究方向为多媒体网络。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61303045);国家自然科学基金资助项目(61472125);国家自然科学基金资助项目(61472135)
- DOI：10.11959/j.issn.1000-436x.2015250
  中图分类号： TP393;TP309
- 网络首发：2015-09，
  
  纸质出版：2015-09-25
- 稿件说明：
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曾玮妮, 林恸平, 易叶青, 等. 传感器网络数据处理中基于隐私向量的隐私保护机制[J]. 通信学报, 2015,36(9):34-46.

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.
曾玮妮, 林恸平, 易叶青, 等. 传感器网络数据处理中基于隐私向量的隐私保护机制[J]. 通信学报, 2015,36(9):34-46. DOI： 10.11959/j.issn.1000-436x.2015250.

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

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