General secure sensor aggregation in the presence of malicious nodes

Keith B. Frikken, Kyle Kauffman, Aaron Steele
{"title":"General secure sensor aggregation in the presence of malicious nodes","authors":"Keith B. Frikken, Kyle Kauffman, Aaron Steele","doi":"10.1109/ICDE.2011.5767849","DOIUrl":null,"url":null,"abstract":"Sensor networks have the potential to allow users to “query the physical world” [1] by querying the sensor nodes for an aggregate result. However, a concern with such aggregation is that a few corrupt nodes in the network may manipulate the results that the querier sees. There has been a substantial amount of work on providing integrity for sensor network computations. However to the best of our knowledge, this prior work has one or more of the following two limitations: i) the methods only work for a specific aggregation function, or ii) the methods do not consider adversaries whose goal is to prevent the base station and the querier from receiving the result. In this paper we present the first scheme that provides general aggregation for sensor networks in the presence of malicious adversaries. The generality of the scheme results from the ability to securely evaluate any algorithm in the streaming model of computation. The main idea of this paper is to convert the commonly used aggregation tree into an aggregation list, and a process for doing this conversion is also presented. This result is an interesting and important first step towards achieving the realization of general secure querying of a sensor network.","PeriodicalId":332374,"journal":{"name":"2011 IEEE 27th International Conference on Data Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 27th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2011.5767849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Sensor networks have the potential to allow users to “query the physical world” [1] by querying the sensor nodes for an aggregate result. However, a concern with such aggregation is that a few corrupt nodes in the network may manipulate the results that the querier sees. There has been a substantial amount of work on providing integrity for sensor network computations. However to the best of our knowledge, this prior work has one or more of the following two limitations: i) the methods only work for a specific aggregation function, or ii) the methods do not consider adversaries whose goal is to prevent the base station and the querier from receiving the result. In this paper we present the first scheme that provides general aggregation for sensor networks in the presence of malicious adversaries. The generality of the scheme results from the ability to securely evaluate any algorithm in the streaming model of computation. The main idea of this paper is to convert the commonly used aggregation tree into an aggregation list, and a process for doing this conversion is also presented. This result is an interesting and important first step towards achieving the realization of general secure querying of a sensor network.
存在恶意节点时的一般安全传感器聚合
传感器网络有可能允许用户通过查询传感器节点获取聚合结果来“查询物理世界”[1]。然而,这种聚合的一个问题是,网络中一些损坏的节点可能会操纵查询器看到的结果。在为传感器网络计算提供完整性方面已经做了大量的工作。然而,据我们所知,这种先前的工作有以下两个限制中的一个或多个:i)方法只适用于特定的聚合函数,或者ii)方法不考虑以阻止基站和查询器接收结果为目标的对手。在本文中,我们提出了第一种方案,在存在恶意对手的情况下为传感器网络提供通用聚合。该方案的通用性来自于能够在计算流模型中安全地评估任何算法。本文的主要思想是将常用的聚合树转换为聚合列表,并给出了这种转换的过程。这一结果是实现传感器网络通用安全查询的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信