In this paper, we propose a specification-based intrusion detection system for securing infrastructure (sensors or actuators) embedded in an unmanned aircraft system (UAS) in which continuity of operation is of the utmost importance. We investigate the impact of attacker behaviors on the effectiveness of our malware detection technique. Using unmanned air vehicles (UAVs) as examples, we demonstrate that our intrusion detection technique can effectively trade false positives off for a high detection probability to cope with more sophisticated and hidden attackers to support ultra safe and secure UAS applications.
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Mitchell et al. (2012) studied this question.
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