Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 243-274 |
| Seitenumfang | 32 |
| Fachzeitschrift | Natural computing |
| Jahrgang | 10 |
| Ausgabenummer | 1 |
| Frühes Online-Datum | 26 Sept. 2010 |
| Publikationsstatus | Veröffentlicht - März 2011 |
Abstract
We propose and evaluate an immuno-inspired approach for misbehavior detection in ad hoc wireless networks. Misbehavior is the result of an intrusion, or a software or hardware failure. Our misbehavior detection approach is inspired by the role of co-stimulation and priming in the biological immune system (BIS). We translate priming into a computational paradigm that can increase robustness as well as stimulate energy efficiency of misbehavior detection. We provide a detailed energy consumption analysis with respect to the IEEE 802.11 and IEEE 802.15.4 protocols. We analyze the efficiency of misbehavior detection with co-stimulation and priming. This analysis is complemented with experimental results. We show that co-stimulation and priming introduce new options such as the ability to choose a trade-off between detection performance and energy efficiency. We provide a summary of the challenges related to the design of co-stimulation and priming based architectures. We argue that co-stimulation and priming are rather general paradigms with possible applications in other areas than misbehavior detection.
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
in: Natural computing, Jahrgang 10, Nr. 1, 03.2011, S. 243-274.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Priming
T2 - Making the reaction to intrusion or fault predictable
AU - Drozda, Martin
AU - Schaust, Sven
AU - Schildt, Sebastian
AU - Szczerbicka, Helena
N1 - Funding Information: Acknowledgments We would like to thank the reviewers for their very constructive and detailed comments. This work was supported by the German Research Foundation (DFG) under the Grant No. SZ 51/24-3 (Survivable Ad Hoc Networks—SANE).
PY - 2011/3
Y1 - 2011/3
N2 - We propose and evaluate an immuno-inspired approach for misbehavior detection in ad hoc wireless networks. Misbehavior is the result of an intrusion, or a software or hardware failure. Our misbehavior detection approach is inspired by the role of co-stimulation and priming in the biological immune system (BIS). We translate priming into a computational paradigm that can increase robustness as well as stimulate energy efficiency of misbehavior detection. We provide a detailed energy consumption analysis with respect to the IEEE 802.11 and IEEE 802.15.4 protocols. We analyze the efficiency of misbehavior detection with co-stimulation and priming. This analysis is complemented with experimental results. We show that co-stimulation and priming introduce new options such as the ability to choose a trade-off between detection performance and energy efficiency. We provide a summary of the challenges related to the design of co-stimulation and priming based architectures. We argue that co-stimulation and priming are rather general paradigms with possible applications in other areas than misbehavior detection.
AB - We propose and evaluate an immuno-inspired approach for misbehavior detection in ad hoc wireless networks. Misbehavior is the result of an intrusion, or a software or hardware failure. Our misbehavior detection approach is inspired by the role of co-stimulation and priming in the biological immune system (BIS). We translate priming into a computational paradigm that can increase robustness as well as stimulate energy efficiency of misbehavior detection. We provide a detailed energy consumption analysis with respect to the IEEE 802.11 and IEEE 802.15.4 protocols. We analyze the efficiency of misbehavior detection with co-stimulation and priming. This analysis is complemented with experimental results. We show that co-stimulation and priming introduce new options such as the ability to choose a trade-off between detection performance and energy efficiency. We provide a summary of the challenges related to the design of co-stimulation and priming based architectures. We argue that co-stimulation and priming are rather general paradigms with possible applications in other areas than misbehavior detection.
KW - Ad hoc wireless network
KW - Artificial immune system
KW - Co-stimulation
KW - Energy efficient design
KW - Misbehavior detection
KW - Sensor network
UR - http://www.scopus.com/inward/record.url?scp=79952760269&partnerID=8YFLogxK
U2 - 10.1007/s11047-010-9219-8
DO - 10.1007/s11047-010-9219-8
M3 - Article
AN - SCOPUS:79952760269
VL - 10
SP - 243
EP - 274
JO - Natural computing
JF - Natural computing
SN - 1567-7818
IS - 1
ER -