Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications

Detecting compromised sensor node with subjective logic in wireless sensor network

Authors
Hongwei Zhou, Jinhui Yuan, Laishun Zhang, Rui Xiao
Corresponding Author
Hongwei Zhou
Available Online January 2017.
DOI
https://doi.org/10.2991/icmmita-16.2016.133How to use a DOI?
Keywords
Sensor network; subjective logic; anomaly detection.
Abstract

To detect anomaly sensing data, in some existing methods, a sensor node first checks its sensing data. Only the node finds its data may be anomalous, it turns to other nodes for further detection. This reduces the energy consume, but it introduces the risk of cheat. Since sensor nodes are often physically captured, a compromised sensor node is able to stop checking its data. To cover it, in this paper, we propose the method that every neighbor node checks directly the node's sensing data and sink node fuses all neighbor node's detection to obtain the final conclusion. More importantly, neighbor node's detection is quantified as subjective logic opinion, and these opinions are fused with fusing operator of subjective logic. When only few nodes are compromised, our solution is capable of exposing compromised node.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
January 2017
ISBN
978-94-6252-285-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-16.2016.133How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongwei Zhou
AU  - Jinhui Yuan
AU  - Laishun Zhang
AU  - Rui Xiao
PY  - 2017/01
DA  - 2017/01
TI  - Detecting compromised sensor node with subjective logic in wireless sensor network
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 719
EP  - 724
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.133
DO  - https://doi.org/10.2991/icmmita-16.2016.133
ID  - Zhou2017/01
ER  -