DocumentCode
3143377
Title
General secure sensor aggregation in the presence of malicious nodes
Author
Frikken, Keith B. ; Kauffman, Kyle ; Steele, Aaron
Author_Institution
Dept. of Comput. Sci. & Software Eng., Miami Univ., Oxford, OH, USA
fYear
2011
fDate
11-16 April 2011
Firstpage
506
Lastpage
516
Abstract
Sensor networks have the potential to allow users to “query the physical world” 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.
Keywords
telecommunication security; wireless sensor networks; aggregation function; aggregation list; aggregation tree; malicious adversary; malicious nodes; sensor aggregation security; sensor networks; Aggregates; Base stations; Computational modeling; Monitoring; Protocols; Security; Vegetation; Aggregation; Integrity; Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2011 IEEE 27th International Conference on
Conference_Location
Hannover
ISSN
1063-6382
Print_ISBN
978-1-4244-8959-6
Electronic_ISBN
1063-6382
Type
conf
DOI
10.1109/ICDE.2011.5767849
Filename
5767849
Link To Document