Priming: Making the reaction to intrusion or fault predictable

Research output: Contribution to journal › Article › Research › peer review

Authors

  • Martin Drozda
  • Sven Schaust
  • Sebastian Schildt
  • Helena Szczerbicka

Research Organisations

External Research Organisations

  • Technische Universität Braunschweig
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Details

Original languageEnglish
Pages (from-to)243-274
Number of pages32
JournalNatural computing
Volume10
Issue number1
Early online date26 Sept 2010
Publication statusPublished - Mar 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.

Keywords

    Ad hoc wireless network, Artificial immune system, Co-stimulation, Energy efficient design, Misbehavior detection, Sensor network

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Priming: Making the reaction to intrusion or fault predictable. / Drozda, Martin; Schaust, Sven; Schildt, Sebastian et al.
In: Natural computing, Vol. 10, No. 1, 03.2011, p. 243-274.

Research output: Contribution to journal › Article › Research › peer review

Drozda, M, Schaust, S, Schildt, S & Szczerbicka, H 2011, 'Priming: Making the reaction to intrusion or fault predictable', Natural computing, vol. 10, no. 1, pp. 243-274. https://doi.org/10.1007/s11047-010-9219-8
Drozda, M., Schaust, S., Schildt, S., & Szczerbicka, H. (2011). Priming: Making the reaction to intrusion or fault predictable. Natural computing, 10(1), 243-274. https://doi.org/10.1007/s11047-010-9219-8
Drozda M, Schaust S, Schildt S, Szczerbicka H. Priming: Making the reaction to intrusion or fault predictable. Natural computing. 2011 Mar;10(1):243-274. Epub 2010 Sept 26. doi: 10.1007/s11047-010-9219-8
Drozda, Martin ; Schaust, Sven ; Schildt, Sebastian et al. / Priming : Making the reaction to intrusion or fault predictable. In: Natural computing. 2011 ; Vol. 10, No. 1. pp. 243-274.
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