STEHLÍK, Martin. Optimization of Intrusion Detection Systems for Wireless Sensor Networks Using Evolutionary Algorithms. In Jaroslav Dočkal, Milan Jirsa, Josef Kaderka. Security and Protection of Information 2013. Brno: University of Defence, 2013, p. 119-124. ISBN 978-80-7231-922-0.
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Basic information
Original name Optimization of Intrusion Detection Systems for Wireless Sensor Networks Using Evolutionary Algorithms
Authors STEHLÍK, Martin (203 Czech Republic, guarantor, belonging to the institution).
Edition Brno, Security and Protection of Information 2013, p. 119-124, 6 pp. 2013.
Publisher University of Defence
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/13:00065733
Organization unit Faculty of Informatics
ISBN 978-80-7231-922-0
Keywords in English intrusion detection system; IDS; wireless sensor network; WSN; simulator; optimization; evolutionary algorithm
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 24/4/2014 18:40.
Abstract
Wireless sensor networks (WSNs) are a type of ad hoc wireless networks with several specifics. WSNs consist of sensor nodes that monitor some environment and send measurements hop-by-hop to a base station (BS). Sensor nodes are low-cost devices highly restricted in their resources regarding to the size of memory, the microcontroller performance and last but not least the energy supply limited by the battery capacity. The concept of the WSNs opens an area for novel attacks. Active attacks, where the attacker manipulates communication, can be detected by an intrusion detection system (IDS) running on the sensor nodes in a distributive and collaborative manner. Since the IDS necessary brings an overhead to the computation and wireless communication of the sensor nodes, it should be deployed with respect to the restricted WSNs. Our goal is to optimize IDS parameters towards solutions suitable for various scenarios and to deal with trade-off between IDS accuracy and WSN performance and lifetime. We assume that a network operator of the WSN will be able to set IDS parameters according to current requirements. In this work, we show how multi-objective evolutionary algorithms can provide optimized solutions and assist with IDS settings.
Links
VG20102014031, research and development projectName: Experimentální vývoj bezpečnostní softwarové platformy se systémem detekce průniku a režimy ochrany soukromí pro bezdrátové senzorové sítě (Acronym: WSNSec)
Investor: Ministry of the Interior of the CR
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