Multi-Objective Optimization of Intrusion Detection Systems for Wireless Sensor Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00066312" target="_blank" >RIV/00216224:14330/13:00066312 - isvavai.cz</a>
Result on the web
<a href="http://mitpress.mit.edu/sites/default/files/titles/content/ecal13/ch082.html" target="_blank" >http://mitpress.mit.edu/sites/default/files/titles/content/ecal13/ch082.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7551/978-0-262-31709-2-ch082" target="_blank" >10.7551/978-0-262-31709-2-ch082</a>
Alternative languages
Result language
angličtina
Original language name
Multi-Objective Optimization of Intrusion Detection Systems for Wireless Sensor Networks
Original language description
Intrusion detection is an essential mechanism to protect wireless sensor networks against internal attacks that are relatively easy and not expensive to mount in these networks. Recently, we proposed, implemented and tested a framework that helps a network operator to find a trade-off between detection accuracy and usage of resources that are usually highly constrained in wireless sensor networks. We used a single-objective optimization evolutionary algorithm for this purpose. This approach, however, has its limitations. In order to eliminate them, we show benefits of multi-objective evolutionary algorithms for intrusion detection parametrization and examine two multi-objective evolutionary algorithms (NSGA-II and SPEA2). Our examination focuses on theimpact of an evolutionary algorithm (and its parameters) on the optimality of found solutions, the speed of convergence and the number of evaluations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP202%2F11%2F0422" target="_blank" >GAP202/11/0422: Privacy preserving security protocols and intrusion detection for wireless sensor networks</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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Artificial Life, ECAL 2013, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems
ISBN
9780262317092
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
569-576
Publisher name
MIT Press
Place of publication
Cambridge, MA 02142-1493 USA
Event location
Taormina, Italy
Event date
Sep 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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