Paper Info
Title
pDCS: Security and Privacy Support for Data-Centric Sensor Networks
Abstract
The demand for efficient data dissemination/access techniques to find the relevant data from within a sensor network has led to the development of data-centric sensor networks (DCS), where the sensor data as contrast to sensor nodes are named based on attributes such as event type or geographic location. However, saving data inside a network also creates security problems due to the lack of tamper-resistance of the sensor nodes and the unattended nature of the sensor network. For example, an attacker may simply locate and compromise the node storing the event of his interest. To address these security problems, we present pDCS, a privacy-enhanced DCS network which offers different levels of data privacy based on different cryptographic keys. In addition, we propose several query optimization techniques based on Euclidean Steiner Tree and Keyed Bloom Filter to minimize the query overhead while providing certain query privacy. Finally, detailed analysis and simulations show that the Keyed Bloom Filter scheme can significantly reduce the message overhead with the same level of query delay and maintain a very high level of query privacy.
Year
DOI
Venue
2009
10.1109/TMC.2008.168
IEEE Transactions on Mobile Computing
Keywords
Field
DocType
cryptography,bloom filter,wireless sensor networks,key management,wireless sensor network,security,data centric,data security,privacy,query optimization,cryptographic keys,data dissemination,data privacy,tamper resistance,sensor network,steiner tree
Query optimization,Database-centric architecture,Bloom filter,Key distribution in wireless sensor networks,Cryptography,Computer science,Computer network,Dissemination,Information privacy,Wireless sensor network
Journal
Volume
Issue
ISSN
8
8
1536-1233
Citations 
PageRank 
References 
51
1.98
54
Authors
5
Name
Order
Citations
PageRank
Min Shao11817.05
Sencun Zhu22581135.53
Wensheng Zhang3141580.30
Guohong Cao46690326.81
Yi Yang5511.98