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@proceedings{904677,
author = {Stetsko, Andriy and Folkman, Lukáš and Matyáš, Václav},
booktitle = {MEMICS 2010 Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science},
keywords = {intrusion detection system;neighbor-based detection technique;wireless sensor network},
language = {eng},
isbn = {978-80-87342-10-7},
title = {Neighbor-based Intrusion Detection for Wireless Sensor Networks},
year = {2010}
}
TY - CONF
ID - 904677
AU - Stetsko, Andriy - Folkman, Lukáš - Matyáš, Václav
PY - 2010
TI - Neighbor-based Intrusion Detection for Wireless Sensor Networks
SN - 9788087342107
KW - intrusion detection system;neighbor-based detection technique;wireless sensor network
N2 - The neighbor-based detection technique explores the principle that sensor nodes situated spatially close to each other tend to have a similar behavior. A node is considered malicious if its behavior significantly differs from its neighbors. This detection technique is localized, unsupervised and adapts to changing network dynamics. Although the technique is promising, it has not been deeply researched in the context of wireless sensor networks yet. In this paper, we present symptoms which can be used in the neighbor-based technique for detection of selective forwarding, jamming and hello flood attacks. We implemented an intrusion detection system which employs the neighbor-based detection technique. The system was designed for and works on the TinyOS operating system running the Collection Tree Protocol. We evaluated accuracy of the technique in the detection of selective forwarding, jamming and hello flood attacks. The results show that the neighbor-based detection technique is highly accurate.
ER -
STETSKO, Andriy, Lukáš FOLKMAN a Václav MATYÁŠ. Neighbor-based Intrusion Detection for Wireless Sensor Networks. In \textit{MEMICS 2010 Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science}. 2010. ISBN~978-80-87342-10-7.
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