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RSU-Based Intrusion Detection and Autonomous Intersection Response Systems

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dc.contributor.authorYurkovich, Peter Josephen
dc.contributor.committeechairHeaslip, Kevin Patricken
dc.contributor.committeememberRakha, Hesham A.en
dc.contributor.committeememberMichaels, Alan J.en
dc.contributor.departmentCivil and Environmental Engineeringen
dc.date.accessioned2022-03-11T09:00:16Zen
dc.date.available2022-03-11T09:00:16Zen
dc.date.issued2022-03-10en
dc.description.abstractVehicular safety and efficiency has been an ongoing research topic since the creation of the automobile. Despite this, deaths due to vehicular accidents are still extremely common, with driver issues and errors causing a vast majority of them. In order to combat the safety risks, Connected and Autonomous Vehicles (CAV) and other smart solutions have been heavily researched. CAVs provide the means to increase the safety of travel as well as its efficiency. However, before connected vehicles can be deployed and utilized, safe and secure communication and standards need to be created and evaluated to ensure that the introduction of a new safety threat does not overshadow the one that is already being faced. As such, it is integral for Intelligent Transportation Systems (ITS) to prevent, detect and respond to cyberattacks. This research focuses on the detection and response of ITS components to cyberattacks. An Intrusion Detection System (IDS) located on Roadside Units (RSU) was developed to detect misbehavior nodes. This model maintains a 98%-100% accuracy while reducing system overhead by removing the need for edge or cloud computing. A resilient Intrusion Response System (IRS) for a autonomous intersection was developed to protect again sybil attacks. The IRS utilizes adaptive switching between several intersection types to reduce delay by up to 78% compared to intersections without these defenses.en
dc.description.abstractgeneralVehicular safety and efficiency has been an ongoing research topic since the creation of the automobile. Despite this, deaths due to vehicular accidents are still extremely common, with driver issues and errors causing a vast majority of them. In order to combat the safety risks, Connected and Autonomous Vehicles (CAV) and other smart solutions have been heavily researched. CAVs provide the means to increase the safety of travel as well as its efficiency. However, before connected vehicles can be deployed and utilized, safe and secure communication and standards need to be created and evaluated to ensure that the introduction of a new safety threat does not overshadow the one that is already being faced. As such it is integral for Intelligent Transportation Systems (ITS) to prevent, detect and respond to cyberattacks. This research focuses on the detection and response of ITS components to cyberattacks. An Intrusion Detection System (IDS) was created to detect vehicles misbehaving or conducting cyberattacks. The IDS is installed on off-road computers, called Roadside Units (RSU) which prevents the need for a separate server to be created to hold the IDS. The IDS is able to identify misbehavior and attacks at a 98% to 100% accuracy. An autonomous intersection is an intersection where all directions for driving through the intersection are transmitted through wireless communication. A Intrusion Response System (IRS) was developed for an autonomous intersection, to defend against vehicles making multiple reservation requests to pass through the intersection. The IRS reduces vehicle delay through the intersection by 78% compared to an intersection without defenses.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:34028en
dc.identifier.urihttp://hdl.handle.net/10919/109308en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectVehicle ad hoc Networken
dc.subjectIntrusion Detection Systemen
dc.subjectAutonomous Intersectionen
dc.subjectIntrusion Response Systemen
dc.titleRSU-Based Intrusion Detection and Autonomous Intersection Response Systemsen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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