Priming

Making the reaction to intrusion or fault predictable

verfasst von

Martin Drozda, Sven Schaust, Sebastian Schildt, Helena Szczerbicka

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.

Organisationseinheit(en)

Fakultät für Elektrotechnik und Informatik

Externe Organisation(en)

Technische Universität Braunschweig

Typ

Artikel

Journal

Natural computing

Band

10

Seiten

243-274

Anzahl der Seiten

32

ISSN

1567-7818

Publikationsdatum

03.2011

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Angewandte Informatik

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1007/s11047-010-9219-8 (Zugang: Geschlossen)