Attack Detection Using Evolutionary Computation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00094468" target="_blank" >RIV/00216224:14330/17:00094468 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-47715-2_5" target="_blank" >http://dx.doi.org/10.1007/978-3-319-47715-2_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-47715-2_5" target="_blank" >10.1007/978-3-319-47715-2_5</a>
Alternative languages
Result language
angličtina
Original language name
Attack Detection Using Evolutionary Computation
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VG20102014031" target="_blank" >VG20102014031: Experimental development of a security platform for wireless sensor networks encompassing an intrusion detection system and privacy preserving modes of operation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Computational Intelligence in Wireless Sensor Networks
ISBN
9783319477138
Number of pages of the result
31
Pages from-to
99-129
Number of pages of the book
210
Publisher name
Springer International Publishing
Place of publication
Germany
UT code for WoS chapter
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