Details
| Original language | English |
|---|---|
| Pages (from-to) | 136-154 |
| Number of pages | 19 |
| Journal | Cybernetics and systems |
| Volume | 39 |
| Issue number | 2 |
| Early online date | 28 Feb 2008 |
| Publication status | Published - 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 subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Artificial Intelligence
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Cybernetics and systems, Vol. 39, No. 2, 02.2008, p. 136-154.
Research output: Contribution to journal › Article › Research › 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 -