Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 136-154 |
Seitenumfang | 19 |
Fachzeitschrift | Cybernetics and systems |
Jahrgang | 39 |
Ausgabenummer | 2 |
Frühes Online-Datum | 28 Feb. 2008 |
Publikationsstatus | Veröffentlicht - Feb. 2008 |
Abstract
Artificial immune systems (AIS) are one of the most recent approaches in computational intelligence. This emerging field is sometimes referred to as immunological computation. The development of AIS is fostered by the advances made in understanding the complex mechanisms of the biological immune system. They provide efficient and robust information processing capabilities for solving complex problems. They can learn, adapt previously learned information, and perform pattern recognition/classification in a distributed way. This article discusses AIS especially in the context of misbehavior detection in wireless ad hoc (sensor) networks.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Artificial intelligence
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in: Cybernetics and systems, Jahrgang 39, Nr. 2, 02.2008, S. 136-154.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Artificial immune systems in the context of misbehavior detection
AU - Schaust, Sven
AU - Szczerbicka, Helena
PY - 2008/2
Y1 - 2008/2
N2 - Artificial immune systems (AIS) are one of the most recent approaches in computational intelligence. This emerging field is sometimes referred to as immunological computation. The development of AIS is fostered by the advances made in understanding the complex mechanisms of the biological immune system. They provide efficient and robust information processing capabilities for solving complex problems. They can learn, adapt previously learned information, and perform pattern recognition/classification in a distributed way. This article discusses AIS especially in the context of misbehavior detection in wireless ad hoc (sensor) networks.
AB - Artificial immune systems (AIS) are one of the most recent approaches in computational intelligence. This emerging field is sometimes referred to as immunological computation. The development of AIS is fostered by the advances made in understanding the complex mechanisms of the biological immune system. They provide efficient and robust information processing capabilities for solving complex problems. They can learn, adapt previously learned information, and perform pattern recognition/classification in a distributed way. This article discusses AIS especially in the context of misbehavior detection in wireless ad hoc (sensor) networks.
UR - http://www.scopus.com/inward/record.url?scp=40149101270&partnerID=8YFLogxK
U2 - 10.1080/01969720701853434
DO - 10.1080/01969720701853434
M3 - Article
AN - SCOPUS:40149101270
VL - 39
SP - 136
EP - 154
JO - Cybernetics and systems
JF - Cybernetics and systems
SN - 0196-9722
IS - 2
ER -