caa a22 4500 445842679 CHVBK 20180317145349.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11047-010-9219-8 doi (NATIONALLICENCE)springer-10.1007/s11047-010-9219-8 Priming: making the reaction to intrusion or fault predictable [Elektronische Daten] [Martin Drozda, Sven Schaust, Sebastian Schildt, Helena Szczerbicka] 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. Springer Science+Business Media B.V., 2010 Ad hoc wireless network nationallicence Sensor network nationallicence Misbehavior detection nationallicence Energy efficient design nationallicence Co-stimulation nationallicence Artificial immune system nationallicence Drozda Martin Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut Schaust Sven Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut Schildt Sebastian Institute of Operating Systems and Computer Networks, Technische Universität Braunschweig, Mühlenpfordtstr. 23, 38106, Braunschweig, Germany aut Szczerbicka Helena Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut Natural Computing Springer Netherlands 10/1(2011-03-01), 243-274 1567-7818 10:1<243 2011 10 11047 https://doi.org/10.1007/s11047-010-9219-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-010-9219-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Drozda Martin Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut NATIONALLICENCE 700 1- Schaust Sven Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut NATIONALLICENCE 700 1- Schildt Sebastian Institute of Operating Systems and Computer Networks, Technische Universität Braunschweig, Mühlenpfordtstr. 23, 38106, Braunschweig, Germany aut NATIONALLICENCE 700 1- Szczerbicka Helena Simulation and Modeling Group, Faculty of Electrical Engineering and Computer Science, Leibniz University of Hannover, Welfengarten 1, 30167, Hannover, Germany aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/1(2011-03-01), 243-274 1567-7818 10:1<243 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer