In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
This paper presents a novel method for optimizing sliding window based continuous queries. We deal with two categories of aggregation operations: stepwise aggregation (e.g. COUNT) ...
— We propose two lightweight techniques to detect masquerade attacks on wireless sensor networks (WSN). Our solutions take into consideration, important WSN properties like cover...
In this paper, we study the problem of processing multiple queries in a wireless sensor network. We focus on multiquery optimization at the base station level to minimize the numb...
Designing message integrity schemes for data aggregation is an imperative problem for securing wireless sensor networks. In this paper, we propose three secure aggregation schemes ...