FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks

Emiliano De Cristofaro; Jens-Matthias Bohli; Dirk Westhoff

FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks

Cryptography and Security 2009-01-09 v1

Authors: Emiliano De Cristofaro , Jens-Matthias Bohli , Dirk Westhoff

Abstract

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.

Keywords

verification network protocol

Cite

@article{arxiv.0901.1095,
  title  = {FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks},
  author = {Emiliano De Cristofaro and Jens-Matthias Bohli and Dirk Westhoff},
  journal= {arXiv preprint arXiv:0901.1095},
  year   = {2009}
}

Comments

This paper is an extended version of the paper appeared in the 2nd Conference on Wireless Network Security (WiSec'09)

FAIR: Fuzzy-based Aggregation providing In-network Resilience for real-time Wireless Sensor Networks

Abstract

Keywords

Cite

Comments

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