CAMsystemx

MisbehaviorDetectionforCooperativeIntelligentTransportSystemsProjectTopicproposedby:IRT-SystemX,TelecomParisTechThesisadvisor:TobedefinedCo-advisor:TobedefinedResearchUnit:SecuredCooperativeAutonomoussystems(SCA)project,AutonomousTransportprogram,IRT-SystemXContact:Pierpaolo.
cincilla@irt-systemx.
frResearchContextCooperativeIntelligentTransportSystems(C-ITS)starttobeamaturetechnology:standardizationprogressandpre-deploymentprojectsareopeningthewaytosmartmobility.
C-ITSofferinnovativewaysofwirelesscommunicationbetweenIntelligentTransportSystems(ITS)stationsandITSroad-sideunits.
TheyfavourthedevelopmentofITSapplicationstoimprovetrafficmanagement,roadsafety,mobilityandothercomfortservices.
C-ITSsystemshavetoguaranteecommunicationsecurity,especiallyinheterogeneousnetworkenvironments.
Safetycriticalapplicationsrequireauthenticationtoavoidattackerstosendspoofedorreforgedinformation,nevertheless,carsanddriversprivacymustbemaintained.
Inordertoenhancecooperativeawareness,ITSexchangerelevantinformationabouttheirspeed,heading,position,etc.
,aswellasemergencymessages.
Emergencymessages(DecentralizedEnvironmentalNotificationMessages(DENM))andbeaconingmessages(CooperativeAwarenessMessages(CAM))willbeusedbyITStounderstandtheirenvironment.
Thosesafetymessagesaresensitiveforsafetyandthesystemmustberobusttofaultydevicesormalicioususersthatmaysenterroneousortamperedinformation.
Tothisend,itisessentialtohaveamisbehaviordetectionmechanismthatpermitstomonitorthesystemandexcludemisbehavingnodes.
ProposedresearchThemaingoalofthePh.
D.
thesisistodesignamisbehaviordetectionmechanismforCooperativeIntelligentTransportSystem(C-ITS).
ThesystemwillmonitorITScommunicationsandcatchfaultyormaliciousITStoidentifyandexcludethemfromthesystem.
Themisbehaviordetectionsystemneedstwocomponents:oneembeddedinITS(e.
g.
vehicles)thatmonitorexchangedinformationplausibilityandtheotherinthecloudthatreceivemisbehaviorreportsfromITSandanalyzethem.
Theembeddedmisbehaviordetectionmechanismchecksreceiveddataplausibility.
TheITScanperformseveralkindofverificationofdifferentcomplexity,varyingfromsimplechecksofthereceivedspeedorpositiontobeunderacertainthresholdorwithinacertainrangetomorecomplexchecksasforexampleneighborhoodsspeedscomparisonorverifyreceivedinformationwithitssensors.
OnceananomalyisdetectedtheITScantakesomecountermeasures(e.
g.
discardfurthermessagesreceivedfromthatITS)andsendamisbehaviorreporttothecentralMisbehaviorAuthority(MA).
TheMAreceivesallthereportsfromtheITSandanalysesthem.
Forprivacyreasonsallsafetymessagesaresignedusingpseudonymidentities,sobothreporterandreportedITSareidentifiedbytheirpseudonym.
Themisbehaviorreportsanalysiscanbeperformedatseverallevels.
Forexample,atadevicelevel,theMAcanlooksforreportsonthesameITS(i.
e.
onthesamepseudonym).
Atanhigherlevel,theMAcancross-checkreportsondifferentpseudonymslinkedtothesameidentity,andatanotherleveltheMAcancrossdatafromdifferentreportsondifferentITS.
Thosethreestrategies(device-based,event-basedandfeature-based)canbeusefultoidentifydifferentscenariosasfaultydevices,maliciousdevicesandcoordinatedattacks.
Themisbehaviordetectionarisesseveralprivacyissues:tosendthemisbehaviorreportcanbethreateningforboththereporterandthereportedITS.
Moreover,themisbehaviorauthorityneedsameanstolinkpseudonymidentities(oranothermechanism)forbothinvestigationandrevocationpurposes.
Thechallengeistohaveamisbehaviordetectionsystemthatiseffectivewithoutharmprivacy.
InternationalInternshipmandatory(threeorsixmonths).
Publicationininternationalconferences.
ParticipationinSystemXandEUprojects.
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