Name
Abstract | ||
|---|---|---|
In this paper, aiming at securing range query, top-k query, and skyline query
in tiered sensor networks, we propose the Secure Range Query (SRQ), Secure
Top-$k$ Query (STQ), and Secure Skyline Query (SSQ) schemes, respectively. In
particular, SRQ, by using our proposed \emph{prime aggregation} technique, has
the lowest communication overhead among prior works, while STQ and SSQ, to our
knowledge, are the first proposals in tiered sensor networks for securing
top-$k$ and skyline queries, respectively. Moreover, the relatively unexplored
issue of the security impact of sensor node compromises on multidimensional
queries is studied; two attacks incurred from the sensor node compromises,
\emph{collusion attack} and \emph{false-incrimination attack}, are investigated
in this paper. After developing a novel technique called \emph{subtree
sampling}, we also explore methods of efficiently mitigating the threat of
sensor node compromises. Performance analyses regarding the probability for
detecting incomplete query-results and communication cost of the proposed
schemes are also studied. |
Year | Venue | Keywords |
|---|---|---|
2009 | Clinical Orthopaedics and Related Research | range query,data structure,secure computation,sensor network |
Field | DocType | Volume |
Skyline,Prime (order theory),Sensor node,Computer science,Tree (data structure),Range query (data structures),Computer network,Sampling (statistics),Wireless sensor network,Collusion,Distributed computing | Journal | abs/0911.4 |
Citations | PageRank | References |
1 | 0.36 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Mu Yu | 1 | 242 | 29.59 |
| Chun-shien Lu | 2 | 1238 | 104.71 |
| Sy-Yen Kuo | 3 | 2304 | 245.46 |