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Article

Research on a Denial of Service (DoS) Detection System Based on Global Interdependent Behaviors in a Sensor Network Environment

1
Department of Multimedia, Hannam University, Daejeon, Korea
2
School of Computing & Information System, Tasmania University, Hobart, Australia
3
Electronics and Telecommunications Research Institute, Daejeon, Korea
*
Author to whom correspondence should be addressed.
Sensors 2010, 10(11), 10376-10386; https://doi.org/10.3390/s101110376
Received: 30 September 2010 / Revised: 25 October 2010 / Accepted: 8 November 2010 / Published: 17 November 2010
(This article belongs to the Section Physical Sensors)
This research suggests a Denial of Service (DoS) detection method based on the collection of interdependent behavior data in a sensor network environment. In order to collect the interdependent behavior data, we use a base station to analyze traffic and behaviors among nodes and introduce methods of detecting changes in the environment with precursor symptoms. The study presents a DoS Detection System based on Global Interdependent Behaviors and shows the result of detecting a sensor carrying out DoS attacks through the test-bed. View Full-Text
Keywords: sensor network; dos attack; interdependent behaviors; security sensor network; dos attack; interdependent behaviors; security
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MDPI and ACS Style

Song, J.-g.; Jung, S.; Kim, J.H.; Seo, D.I.; Kim, S. Research on a Denial of Service (DoS) Detection System Based on Global Interdependent Behaviors in a Sensor Network Environment. Sensors 2010, 10, 10376-10386. https://doi.org/10.3390/s101110376

AMA Style

Song J-g, Jung S, Kim JH, Seo DI, Kim S. Research on a Denial of Service (DoS) Detection System Based on Global Interdependent Behaviors in a Sensor Network Environment. Sensors. 2010; 10(11):10376-10386. https://doi.org/10.3390/s101110376

Chicago/Turabian Style

Song, Jae-gu, Sungmo Jung, Jong Hyun Kim, Dong Il Seo, and Seoksoo Kim. 2010. "Research on a Denial of Service (DoS) Detection System Based on Global Interdependent Behaviors in a Sensor Network Environment" Sensors 10, no. 11: 10376-10386. https://doi.org/10.3390/s101110376

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