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Pervasive Computing and Communications Workshops, IEEE International Conference on (2006)
Pisa, Italy
Mar. 13, 2006 to Mar. 17, 2006
ISBN: 0-7695-2520-2
pp: 332-336
Levente Buttyan , Budapest University of Technology and Economics, Hungary
Peter Schaffer , Budapest University of Technology and Economics, Hungary
Istvan Vajda , Budapest University of Technology and Economics, Hungary
ABSTRACT
In this paper, we propose a new model of resilient data aggregation in sensor networks, where the aggregator analyzes the received sensor readings and tries to detect unexpected deviations before the aggregation function is called. In this model, the adversary does not only want to cause maximal distortion in the output of the aggregation function, but it also wants to remain undetected. The advantage of this approach is that in order to remain undetected, the adversary cannot distort the output arbitrarily, but rather the distortion is usually upper bounded, even for aggregation functions that were considered to be insecure earlier (e.g., the average). We illustrate this through an example in this paper.
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CITATION

L. Buttyan, P. Schaffer and I. Vajda, "Resilient Aggregation with Attack Detection in Sensor Networks," Pervasive Computing and Communications Workshops, IEEE International Conference on(PERCOMW), Pisa, Italy, 2006, pp. 332-336.
doi:10.1109/PERCOMW.2006.119
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