Adaptive Intrusion Detection of Malicious Unmanned Air Vehicles Using Behavior Rule Specifications
In this paper, we propose an adaptive specification-based intrusion detection system (IDS) for detecting malicious unmanned air vehicles (UAVs) in an airborne system in which continuity of operation is of the utmost importance. An IDS audits UAVs in a distributed system to determine if the UAVs are...
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| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2014-05, Vol.44 (5), p.593-604 |
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| container_title | IEEE transactions on systems, man, and cybernetics. Systems |
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| creator | Mitchell, Robert Ing-Ray Chen |
| description | In this paper, we propose an adaptive specification-based intrusion detection system (IDS) for detecting malicious unmanned air vehicles (UAVs) in an airborne system in which continuity of operation is of the utmost importance. An IDS audits UAVs in a distributed system to determine if the UAVs are functioning normally or are operating under malicious attacks. We investigate the impact of reckless, random, and opportunistic attacker behaviors (modes which many historical cyber attacks have used) on the effectiveness of our behavior rule-based UAV IDS (BRUIDS) which bases its audit on behavior rules to quickly assess the survivability of the UAV facing malicious attacks. Through a comparative analysis with the multiagent system/ant-colony clustering model, we demonstrate a high detection accuracy of BRUIDS for compliant performance. By adjusting the detection strength, BRUIDS can effectively trade higher false positives for lower false negatives to cope with more sophisticated random and opportunistic attackers to support ultrasafe and secure UAV applications. |
| doi_str_mv | 10.1109/TSMC.2013.2265083 |
| format | Article |
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Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mitchell, Robert</au><au>Ing-Ray Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive Intrusion Detection of Malicious Unmanned Air Vehicles Using Behavior Rule Specifications</atitle><jtitle>IEEE transactions on systems, man, and cybernetics. Systems</jtitle><stitle>TSMC</stitle><date>2014-05-01</date><risdate>2014</risdate><volume>44</volume><issue>5</issue><spage>593</spage><epage>604</epage><pages>593-604</pages><issn>2168-2216</issn><eissn>2168-2232</eissn><coden>ITSMFE</coden><abstract>In this paper, we propose an adaptive specification-based intrusion detection system (IDS) for detecting malicious unmanned air vehicles (UAVs) in an airborne system in which continuity of operation is of the utmost importance. 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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Adjustment Air transportation and traffic Applied sciences Behavior Computer information security Computer science control theory systems Continuity Control theory. Systems Cybernetics Exact sciences and technology Gears Ground, air and sea transportation, marine construction Intrusion Intrusion detection Intrusion detection systems Mathematical models Military aircraft Monitoring Pricing Robotics security Sensors Specifications Unmanned aerial vehicles unmanned air vehicles (UAVs) Weapons |
| title | Adaptive Intrusion Detection of Malicious Unmanned Air Vehicles Using Behavior Rule Specifications |
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