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Preserving Source- and Sink-location Privacy in Sensor Networks
Computer Science and Information Systems, Tome 13 (2016) no. 1 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Protecting the location privacy of source and sink nodes in a sensor network is an important problem. Source-location privacy is to prevent event source tracking by adversaries and sink-location privacy is to protect sink nodes from adversaries who try to disrupt the sensor network. In this paper, we propose a constant-rate broadcast scheme for ensuring their location privacy. This scheme (1) equalizes traffic patterns of the sensor network to deal with eavesdropping and (2) minimizes the routing information of each sensor node to deal with node compromising.We further reduce the overhead of the proposed scheme by proposing a forwarder-driven broadcast (FdB) scheme that allows efficient multiple broadcasts with smaller buffer usage. Analysis and evaluation results show that FdB can support multiple broadcasts with small message delivery time and buffer usage.
Keywords: sensor networks, location privacy, global eavesdropper, compromised node, information leak 
@article{CSIS_2016_13_1_a6,
     author = {Sangho Lee and Jong Kim and Yoonho Kim},
     title = {Preserving {Source-} and {Sink-location} {Privacy} in {Sensor} {Networks}},
     journal = {Computer Science and Information Systems},
     year = {2016},
     volume = {13},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2016_13_1_a6/}
}
TY  - JOUR
AU  - Sangho Lee
AU  - Jong Kim
AU  - Yoonho Kim
TI  - Preserving Source- and Sink-location Privacy in Sensor Networks
JO  - Computer Science and Information Systems
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%A Jong Kim
%A Yoonho Kim
%T Preserving Source- and Sink-location Privacy in Sensor Networks
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%D 2016
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%F CSIS_2016_13_1_a6
Sangho Lee; Jong Kim; Yoonho Kim. Preserving Source- and Sink-location Privacy in Sensor Networks. Computer Science and Information Systems, Tome 13 (2016) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2016_13_1_a6/