Abstract: Embodiments include methods performed by vehicle-to-everything (V2X) system for protecting proprietary data within misbehavior reports. Various embodiments may include detecting misbehavior conditions based on received sensor data, determining whether the received sensor data that supports a conclusion that a misbehavior condition has occurred is or includes proprietary information, and encrypting the sensor data that supports the conclusion that the misbehavior condition has occurred in response to determining that the received sensor data is or includes the proprietary information.

Abstract: Aspects relating to abnormal transmission identification include, for example, a method involving, at a receiving device, receiving a plurality of V2X messages from a plurality of transmitting devices, obtaining a plurality of RSSI-to-distance data pairs, including an RSSI-to-distance data pair for each of the plurality of V2X messages, establishing an RSSI-to-distance relationship model based, at least in part, on the plurality of RSSI-to-distance data pairs. The method further involves, at the receiving device, receiving an additional V2X message from a transmitting device different from the plurality of transmitting devices, obtaining an additional RSSI-to-distance data pair for the additional V2X message, and comparing the additional RSSI-to-distance data pair to the RSSI-to-distance relationship model.

Abstract: Embodiments are disclosed that include systems and methods performed by vehicle-to-everything (V2X) system participant to determine whether a misbehavior condition may have occurred based on the generation and/or receipt of a V2X message. The detection of a misbehavior condition may occur if the V2X message is generated and/or received too frequently or not frequently enough. In addition, a misbehavior condition may be detected if the generated and/or received V2X message does include the appropriate security credential.

Abstract: Embodiments include methods performed by a processor of a vehicle-to-everything (V2X) system within a vehicle for detecting misbehavior conditions by comparing information received in V2X messages to local dynamic map data. Various embodiments may include receiving V2X messages from other V2X system participants, determining whether a misbehavior condition is detected by comparing data contained in the received V2X messages to information in a locally maintained or stored local dynamic map data model, detecting a misbehavior condition and generating a misbehavior report identifying the misbehavior condition in response to a conflict or inconsistency between some data in the received V2X message and the local dynamic map.

Abstract: In various embodiments, a vehicle-to-everything (V2X) processing device may receive V2X messages from intelligent transportation system (ITS) stations, analyze information in received V2X messages to detect misbehavior conditions, and add a station identifier associated with a V2X message received from an ITS station to a local blocking list in response to detecting a misbehavior condition in the V2X message received from the ITS station. In some embodiments, the V2X processing device may transmit a misbehavior report to a management entity in response to detecting the misbehavior condition in the V2X message.

Abstract: Methods, misbehavior management systems, non-transitory processor-readable media of various embodiments provide for managing the generation, storage, and transmission of misbehavior reports from vehicle-to-everything (V2X) onboard equipment to an associated entity, such as a misbehavior managing authority. Various embodiments may include detecting a misbehavior condition has occurred and determining whether to generate a misbehavior report based on an aggregated criticality value. The misbehavior management system may then determine whether to store the generated misbehavior report. The misbehavior management system may also determine whether to transmit the generated misbehavior report to a misbehavior managing authority. In some embodiments, the misbehavior management system may determine which stored misbehavior reports may be deleted from storage.

Abstract: The application is applicable for use in conjunction with a system that includes connected vehicle communications in which vehicles in the system each have an onboard processor subsystem and associated sensors, the processor subsystem controlling the generation, transmission, and receiving of messages communicated between vehicles for purposes including crash avoidance. A method is set forth for determining, by a given vehicle receiving messages, the occurrence of misbehavior, including the following steps: processing received messages by performing a plurality of plausibility determinations to obtain a respective number of plausibility measurements; determining at least one context for the region at which the given vehicle is located; weighting the plurality of plausibility measurements in accordance with values determined from the at least one context to obtain a respective plurality of plausibility indicator values; and deriving a misbehavior confidence indicator using the plausibility indicator values.

Abstract: Aspects relating to abnormal transmission identification include, for example, a method involving, at a receiving device, receiving a plurality of V2X messages from a plurality of transmitting devices, obtaining a plurality of RSSI-to-distance data pairs, including an RSSI-to-distance data pair for each of the plurality of V2X messages, establishing an RSSI-to-distance relationship model based, at least in part, on the plurality of RSSI-to-distance data pairs. The method further involves, at the receiving device, receiving an additional V2X message from a transmitting device different from the plurality of transmitting devices, obtaining an additional RSSI-to-distance data pair for the additional V2X message, and comparing the additional RSSI-to-distance data pair to the RSSI-to-distance relationship model.

Abstract: Methods, apparatuses, systems, and non-transitory computer-readable medium are disclosed relating to abnormal transmission identification. One method comprises, at a receiving device, receiving a V2X message from a transmitting device. The method further comprises determining a signal propagation context for the receiving device and obtaining an RSSI value and a distance value for the V2X message. The method further comprises generating an adjusted RSSI value based on (1) the RSSI value and (2) the signal propagation context for the receiving device. The method further comprises obtaining a predetermined RSSI-to-distance relationship model and comparing an adjusted RSSI-to-distance data pair, comprising the adjusted RSSI value and the distance value, to the predetermined RSSI-to-distance relationship model.

Abstract: The invention is applicable for use in conjunction with a system that includes connected vehicle communications in which vehicles in the system each have an onboard processor subsystem and associated sensors, the processor subsystem controlling the generation, transmission, and receiving of messages communicated between vehicles for purposes including crash avoidance. A method is set forth for determining, by a given vehicle receiving messages, the occurrence of misbehavior, including the following steps: processing received messages by performing a plurality of plausibility determinations to obtain a respective number of plausibility measurements; determining at least one context for the region at which the given vehicle is located; weighting the plurality of plausibility measurements in accordance with values determined from the at least one context to obtain a respective plurality of plausibility indicator values; and deriving a misbehavior confidence indicator using the plausibility indicator values.

Abstract: The invention is applicable for use in conjunction with a system for connected vehicle communications in which each vehicle in the system is issued a limited number of unique pseudonym certificates that are used by the vehicle to establish trust in messages sent by the vehicle by signing each message with a pseudonym certificate. A method is set forth for selecting a pseudonym certificate for use, from among the vehicle's pseudonym certificates, so as to protect the privacy of the vehicle's activity against attacks by eavesdroppers, including the steps of: tracking and storing vehicle location data; computing, from inputs that include the vehicle location data, the vehicle's relative achievable anonymity in particular geographical regions; prioritizing the pseudonym certificates; and selecting a pseudonym certificate for use from among the pseudonym certificates having a priority that is determined by the relative achievable anonymity for the geographical region in which the certificate is to be used.

Abstract: The invention is applicable for use in conjunction with a system that includes connected vehicle communications in which vehicles in the system each have an onboard processor subsystem and associated sensors, the processor subsystem controlling the generation, transmission, and receiving of messages communicated between vehicles for purposes including crash avoidance. A method is set forth for determining, by a given vehicle receiving messages, the occurrence of misbehavior, including the following steps: processing received messages by performing a plurality of plausibility determinations to obtain a respective number of plausibility measurements; determining at least one context for the region at which the given vehicle is located; weighting the plurality of plausibility measurements in accordance with values determined from the at least one context to obtain a respective plurality of plausibility indicator values; and deriving a misbehavior confidence indicator using the plausibility indicator values.

Abstract: The invention is applicable for use in conjunction with a system for connected vehicle communications in which each vehicle in the system is issued a limited number of unique pseudonym certificates that are used by the vehicle to establish trust in messages sent by the vehicle by signing each message with a pseudonym certificate. A method is set forth for selecting a pseudonym certificate for use, from among the vehicle's pseudonym certificates, so as to protect the privacy of the vehicle's activity against attacks by eavesdroppers, including the steps of: tracking and storing vehicle location data; computing, from inputs that include the vehicle location data, the vehicle's relative achievable anonymity in particular geographical regions; prioritizing the pseudonym certificates; and selecting a pseudonym certificate for use from among the pseudonym certificates having a priority that is determined by the relative achievable anonymity for the geographical region in which the certificate is to be used.