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Efficient state estimation and byzantine behavior identification in tactical MANETs

: Ebinger, Peter; Wolthusen, Stephen


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Military Communications Conference, Milcom 2009. CD-ROM : The Challenge of Convergence, World Trade Center, Boston, October 18-21, 2009
Piscataway/NJ: IEEE, 2009
ISBN: 978-1-4244-5239-2
7 pp.
Military Communications Conference (MILCOM) <28, 2009, Boston/Mass.>
Conference Paper
Fraunhofer IGD ()
mobile ad-hoc networks (MANETs); Monte Carlo technique; situation awareness; network security; intrusion detection

Limited capabilities and mission requirements imply that nodes in Tactical Mobile Ad-hoc NETworks (MANETs) carry a significant risk of being compromised physically or logically. In addition nodes or groups of nodes may defect, which is a particular concern in coalition environments where networks may spread beyond organizational boundaries.
To identify defecting or compromised nodes including Byzantine behavior we propose a clustered intrusion detection architecture. Our architecture exploits multisensor data and supplementary information to identify defectors based on deviations from predicted values and correlated measurements and behavior. Furthermore multi-hop communication complexity is minimized to ensure robustness in environments with limited connectivity and frequent network partitioning. We show that our approach improves accuracy over naive Markov Chain and Kullback-Leibler divergence by boosting the number of particles, where probability density functions are highly nonlinear but partially known and can be determined using predictive importance sampling.