Wireless Sensor Networks (WSNs) rely on in networkaggregation for efficiency, however, this comes at aprice: A single adversary can severely influence the outcomeby contributing an arbitrary partial aggregate value. Securein-network aggregation can detect such manipulation . Butas long as such faults persist, no aggregation result can beobtained. In contrast, the collection of individual sensor nodevalues is robust and solves the problem of availability, yet in an inefficient way. Our work seeks to bridge this gap in secure data collection: We propose a system that enhances availability with an efficiency close to that of in-network aggregation. To achieve this, our scheme relies on costly operations to localize and exclude nodes that manipulate the aggregation, but only when a failure is detected. The detection of aggregation disruptions and the removal of faulty nodes provides robustness. At the same time, after removing faulty nodes, the WSN can enjoy low cost (secure) aggregation. Thus, the high exclusion cost is amortized, and efficiency increases.
2007. 1-6 p.