MIL-STD-1553 Intrusion Detection using CUSUM Algorithm

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dc.contributor.authorSachdev, Krunal
dc.contributor.supervisorTraore, Issa
dc.contributor.supervisorGebali, Fayez
dc.date.accessioned2022-04-29T17:44:57Z
dc.date.available2022-04-29T17:44:57Z
dc.date.copyright2022en_US
dc.date.issued2022-04-29
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelMaster of Engineering M.Eng.en_US
dc.description.abstractMIL-STD-1553 is a military standard developed by the US department of defense for communication among military avionic platforms (e.g., F-35 and F-16). It has been widely accepted worldwide for more than five decades and is used in many applications other than military avionics. It follows a strict and deterministic procedure for communication among its components. However, research has suggested that it has many vulnerabilities associated with it that can be exploited to carry a range of attacks on it. And since numerous applications make use of this standard, it is crucial to protect MIL-STD-1553 networks. This project presents an unsupervised anomaly detection scheme using the CUSUM algorithm for the MIL-STD-1553 protocol. A dataset was collected in the ISOT lab by executing six attack vectors on a simulated MIL-STD-1553 network. We leverage the time-based properties of the communication bus to extract a set of relevant features that are fed to the CUSUM algorithm for detection. The experimental evaluation of the proposed detector using the aforementioned dataset yielded promising results, which are very encouraging considering the unsupervised nature of the underlying algorithm.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/13907
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectCUSUMen_US
dc.subjectIntrusion Detection Systemen_US
dc.subjectMIL-STD-1553en_US
dc.subjectUnsupervised machine learningen_US
dc.titleMIL-STD-1553 Intrusion Detection using CUSUM Algorithmen_US
dc.typeprojecten_US

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