Abstract | ||
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Existing mechanisms for querying wireless sensor networks leak client interests to the servers performing the queries. The leaks are not only in terms of specific regions of interest but also of client access patterns. In this article we introduce the problem of preserving the privacy of clients querying a wireless sensor network owned by untrusted organizations. We first propose an efficient protocol, SPYC, that ensures full client privacy in settings where the servers providing access to the network are honest-but-curious and whose collaboration does not extend beyond well-defined administrative purposes. Furthermore, we study the same query privacy problem in a setting where servers exhibit malicious behavior or where powerful external attackers have access to sensor network traffic information. In this setting we propose two metrics for quantifying the privacy achieved by a client's query sequence. We then extend SPYC with a suite of practical algorithms, then analyze the privacy and efficiency levels they provide. Our TOSSIM simulations show that the proposed extensions are communication efficient while significantly improving client privacy levels. |
Year | DOI | Venue |
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2010 | 10.1145/1689239.1689244 | SECON |
Keywords | Field | DocType |
data integrity,network traffic information,client privacy level,tossim simulation,leak client interest,query sequence,query privacy problem,data storage and query processing,wireless sensor network,privacy,client access pattern,full client privacy,security,efficient protocol,protocols,global earth observation system of systems,ocean temperature,wireless sensor networks,algorithm design and analysis,petroleum | Key distribution in wireless sensor networks,Suite,Computer science,Client server systems,Server,Computer network,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
6 | 2 | 1550-4859 |
Citations | PageRank | References |
31 | 1.33 | 30 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bogdan Carbunar | 1 | 699 | 53.79 |
Yang Yu | 2 | 164 | 11.77 |
Weidong Shi | 3 | 331 | 41.44 |
Michael Pearce | 4 | 37 | 3.25 |
Venu Vasudevan | 5 | 621 | 59.19 |