Priming

Making the reaction to intrusion or fault predictable

authored by

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.

Organisation(s)

Faculty of Electrical Engineering and Computer Science

External Organisation(s)

Technische Universität Braunschweig

Type

Article

Journal

Natural computing

Volume

10

Pages

243-274

No. of pages

32

ISSN

1567-7818

Publication date

03.2011

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Science Applications

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://doi.org/10.1007/s11047-010-9219-8 (Access: Closed)