DocumentCode
1908147
Title
DP²AC: Distributed Privacy-Preserving Access Control in Sensor Networks
Author
Zhang, Rui ; Zhang, Yanchao ; Ren, Kui
Author_Institution
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ
fYear
2009
fDate
19-25 April 2009
Firstpage
1251
Lastpage
1259
Abstract
The owner and users of a sensor network may be different, which necessitates privacy-preserving access control. On the one hand, the network owner need enforce strict access control so that the sensed data are only accessible to users willing to pay. On the other hand, users wish to protect their respective data access patterns whose disclosure may be used against their interests. This paper presents DP2 AC, a Distributed Privacy- Preserving Access Control scheme for sensor networks, which is the first work of its kind. Users in DP2 AC purchase tokens from the network owner whereby to query data from sensor nodes which will reply only after validating the tokens. The use of blind signatures in token generation ensures that tokens are publicly verifiable yet unlinkable to user identities, so privacy- preserving access control is achieved. A central component in DP2 AC is to prevent malicious users from reusing tokens. We propose a suite of distributed techniques for token-reuse detection (TRD) and thoroughly compare their performance with regard to TRD capability, communication overhead, storage overhead, and attack resilience. The efficacy and efficiency of DP2 AC are confirmed by detailed performance evaluations.
Keywords
authorisation; data privacy; distributed sensors; query processing; attack resilience; blind signatures; distributed privacy-preserving access control; query data; sensor networks; storage overhead; token generation; token-reuse detection; Access control; Base stations; Business; Communications Society; Companies; Data privacy; Oceans; Peer to peer computing; Protection; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM 2009, IEEE
Conference_Location
Rio de Janeiro
ISSN
0743-166X
Print_ISBN
978-1-4244-3512-8
Electronic_ISBN
0743-166X
Type
conf
DOI
10.1109/INFCOM.2009.5062039
Filename
5062039
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