Computer Science – Cryptography and Security
Scientific paper
2009-01-08
Computer Science
Cryptography and Security
This paper is an extended version of the paper appeared in the 2nd Conference on Wireless Network Security (WiSec'09)
Scientific paper
This work introduces FAIR, a novel framework for Fuzzy-based Aggregation providing In-network Resilience for Wireless Sensor Networks. FAIR addresses the possibility of malicious aggregator nodes manipulating data. It provides data-integrity based on a trust level of the WSN response and it tolerates link or node failures. Compared to available solutions, it offers a general aggregation model and makes the trust level visible to the querier. We classify the proposed approach as complementary to protocols ensuring resilience against sensor leaf nodes providing faulty data. Thanks to our flexible resilient framework and due to the use of Fuzzy Inference Schemes, we achieve promising results within a short design cycle.
Bohli Jens-Matthias
Cristofaro Emiliano de
Westhoff Dirk
No associations
LandOfFree
FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-63011