Toward an optimal anomaly detection pattern in wireless sensor networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Over the past years, various anomaly detection techniques for Wireless Sensor Networks (WSNs) have been proposed in the literature. These detectors are generally only effective against particular security threats and thus many detectors have to be executed to ensure high-level security in WSNs. Due to the hardware limitations, WSNs cannot execute all of these detectors simultaneously. Thus, WSNs have to appropriately schedule when to execute a particular detector and when to execute the others. This paper presents an optimized solution by providing a unified framework that combines the usage of a costly yet highly-accurate detector, called an oracle detector, and a low cost and less-accurate detector, called a partial detector. A detection pattern is created and optimized using a first-order approximation method. Simulation results show that combining several detectors into an optimized pattern is essential to provide low execution time overhead.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
EditorsVladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri
PublisherIEEE Computer Society
Pages912-913
Number of pages2
ISBN (Electronic)9781728126074
DOIs
Publication statusPublished - 2019 Jul
Event43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, United States
Duration: 2019 Jul 152019 Jul 19

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Conference

Conference43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
CountryUnited States
CityMilwaukee
Period19/7/1519/7/19

Keywords

  • Anomaly detection
  • Detection pattern
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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  • Cite this

    Amrizal, M. A., Guillen, L., & Suganuma, T. (2019). Toward an optimal anomaly detection pattern in wireless sensor networks. In V. Getov, J-L. Gaudiot, N. Yamai, S. Cimato, M. Chang, Y. Teranishi, J-J. Yang, H. V. Leong, H. Shahriar, M. Takemoto, D. Towey, H. Takakura, A. Elci, S. Takeuchi, & S. Puri (Eds.), Proceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019 (pp. 912-913). [8754479] (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2019.00137