| STEHLÍK, Martin, Václav MATYÁŠ and Andriy STETSKO. Attack Detection Using Evolutionary Computation. In Abraham, Ajith, Falcon, Rafael, Koeppen, Mario. Computational Intelligence in Wireless Sensor Networks. Germany: Springer International Publishing, 2017, p. 99-129. Studies in Computational Intelligence. ISBN 978-3-319-47713-8. Available from: https://dx.doi.org/10.1007/978-3-319-47715-2_5. |
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@inbook{1368341,
author = {Stehlík, Martin and Matyáš, Václav and Stetsko, Andriy},
address = {Germany},
booktitle = {Computational Intelligence in Wireless Sensor Networks},
doi = {http://dx.doi.org/10.1007/978-3-319-47715-2_5},
editor = {Abraham, Ajith, Falcon, Rafael, Koeppen, Mario},
keywords = {wireless sensor network; attack detection; evolutionary computation},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Germany},
isbn = {978-3-319-47713-8},
pages = {99-129},
publisher = {Springer International Publishing},
title = {Attack Detection Using Evolutionary Computation},
year = {2017}
}
TY - CHAP
ID - 1368341
AU - Stehlík, Martin - Matyáš, Václav - Stetsko, Andriy
PY - 2017
TI - Attack Detection Using Evolutionary Computation
VL - Studies in Computational Intelligence
PB - Springer International Publishing
CY - Germany
SN - 9783319477138
KW - wireless sensor network
KW - attack detection
KW - evolutionary computation
N2 - Wireless sensor networks (WSNs) are often deployed in open and potentially hostile environments. An attacker can easily capture the sensor nodes or replace them with malicious devices that actively manipulate the communication. Several intrusion detection systems (IDSs) have been proposed to detect different kinds of active attacks by sensor nodes themselves. However, the optimization of the IDSs w.r.t. the accuracy and also sensor nodes’ resource consumption is often left unresolved. We use multi-objective evolutionary algorithms to optimize the IDS with respect to three objectives for each specific WSN application and environment. The optimization on two detection techniques aimed at a selective forwarding attack and a delay attack is evaluated. Moreover, we discuss various attacker strategies ranging from an attacker behavior to a deployment of the malicious sensor nodes in the WSN. The robustness of the IDS settings optimized for six different attacker strategies is evaluated.
ER -
STEHLÍK, Martin, Václav MATYÁŠ and Andriy STETSKO. Attack Detection Using Evolutionary Computation. In Abraham, Ajith, Falcon, Rafael, Koeppen, Mario. \textit{Computational Intelligence in Wireless Sensor Networks}. Germany: Springer International Publishing, 2017, p.~99-129. Studies in Computational Intelligence. ISBN~978-3-319-47713-8. Available from: https://dx.doi.org/10.1007/978-3-319-47715-2\_{}5.
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