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In-Network Outlier Detection in Wireless Sensor Networks

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Hillol KarguptaAuthors Info & Claims

ICDCS '06: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems

Page 51

https://doi.org/10.1109/ICDCS.2006.49

Published: 04 July 2006 Publication History

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Abstract

To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) works in-network with a communication load proportional to the outcome, and (3) reveals its outcome to all sensors. We examine the algorithm's performance using simulation with real sensor data streams. Our results demonstrate that the algorithm is accurate and imposes a reasonable communication load and level of power consumption.

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Al Samara MBennis IAbouaissa ALorenz P(2023)Complete outlier detection and classification framework for WSNs based on OPTICSJournal of Network and Computer Applications10.1016/j.jnca.2022.103563211:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.jnca.2022.103563
Ftaimi SMazri TBen Ahmed MBoudhir A(2020)A comparative study of Machine learning algorithms for VANET networksProceedings of the 3rd International Conference on Networking, Information Systems & Security10.1145/3386723.3387829(1-8)Online publication date: 31-Mar-2020
https://dl.acm.org/doi/10.1145/3386723.3387829
Titouna CNaït-Abdesselam FKhokhar A(2019)DODSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2019.06.014161:C(93-101)Online publication date: 9-Oct-2019
https://dl.acm.org/doi/10.1016/j.comnet.2019.06.014
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In-Network Outlier Detection in Wireless Sensor Networks

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ICDCS '06: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems

July 2006

ISBN:0769525407

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IEEE Computer Society

United States

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Published: 04 July 2006

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Al Samara MBennis IAbouaissa ALorenz P(2023)Complete outlier detection and classification framework for WSNs based on OPTICSJournal of Network and Computer Applications10.1016/j.jnca.2022.103563211:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.jnca.2022.103563
Ftaimi SMazri TBen Ahmed MBoudhir A(2020)A comparative study of Machine learning algorithms for VANET networksProceedings of the 3rd International Conference on Networking, Information Systems & Security10.1145/3386723.3387829(1-8)Online publication date: 31-Mar-2020
https://dl.acm.org/doi/10.1145/3386723.3387829
Titouna CNaït-Abdesselam FKhokhar A(2019)DODSComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2019.06.014161:C(93-101)Online publication date: 9-Oct-2019
https://dl.acm.org/doi/10.1016/j.comnet.2019.06.014
(2018)A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifierInternational Journal of Sensor Networks10.5555/3272279.327228527:3(200-214)Online publication date: 1-Jan-2018
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(2018)A distributed anomaly detection model for wireless sensor networks based on the one?class principal component classifierInternational Journal of Sensor Networks10.5555/3272272.327227827:3(200-214)Online publication date: 1-Jan-2018
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(2018)A distributed anomaly detection model for wireless sensor networks based on the one?class principal component classifierInternational Journal of Sensor Networks10.5555/3272258.327226427:3(200-214)Online publication date: 1-Jan-2018
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Zhang YSzabo CSheng QFang X(2018)SNAFWorld Wide Web10.1007/s11280-017-0453-121:2(311-343)Online publication date: 1-Mar-2018
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Karkouch AMousannif HAl Moatassime HNoel T(2016)Data quality in internet of thingsJournal of Network and Computer Applications10.1016/j.jnca.2016.08.00273:C(57-81)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.jnca.2016.08.002
Saganowski ŁAndrysiak TKozik RChoraź M(2016)DWT-based anomaly detection method for cyber security of wireless sensor networksSecurity and Communication Networks10.1002/sec.15509:15(2911-2922)Online publication date: 1-Oct-2016
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Rassam MZainal AMaarof M(2015)Principal component analysis-based data reduction model for wireless sensor networksInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2015.06775618:1/2(85-101)Online publication date: 1-Mar-2015
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