Abstract: Systems and method are provided for detecting an anomaly of a sensor of a vehicle. In one embodiment, a method includes: storing a plurality of sensor correlation groups based on vehicle dynamics; processing a subset of signals based on the sensor correlation groups to determine when an anomaly exists; processing the subset of signals based on the sensor correlation group to determine which sensor of the sensor correlation group is anomalous; and generating notification data based on the sensor of the correlation group that is anomalous.

Abstract: As automotive security concerns are rising, the Controller Area Network (CAN)—the de facto standard of in-vehicle communication protocol—has come under scrutiny due to its lack of encryption and authentication. Several vulnerabilities, such as eavesdropping, spoofing, and replay attacks, have shown that the current implementation needs to be extended. Both academic and commercial solutions for a secure CAN have been proposed, but OEMs have not yet integrated them into their products. The main reasons for this lack of adoption are their heavy use of limited computational resources in the vehicle, increased latency that can lead to missed deadlines for safety-critical messages, as well as insufficient space available in a CAN frame to include a Message Authentication Code (MAC). By making a trade-off between security and performance, this disclosure overcomes the aforementioned problems of a secure CAN.

Abstract: One commonality among most vehicular security attacks reported to date is that they ultimately require write access to the CAN bus. In order to cause targeted and intentional changes in the vehicle behavior, malicious CAN injection attacks require knowledge of the CAN message format. However, since this format is proprietary to OEMs and can differ even among different models of a single make of vehicle, one must manually reverse-engineer the CAN message format of each vehicle they target. To mitigate this difficulty, an automated CAN message translator is presented.

Abstract: Systems and method are provided for detecting an anomaly of a sensor of a vehicle. In one embodiment, a method includes: storing a plurality of sensor correlation groups based on vehicle dynamics; processing a subset of signals based on the sensor correlation groups to determine when an anomaly exists; processing the subset of signals based on the sensor correlation group to determine which sensor of the sensor correlation group is anomalous; and generating notification data based on the sensor of the correlation group that is anomalous.

Abstract: Methods and apparatus are provided for preserving privacy of data collected from a vehicle. In one embodiment, a method includes: receiving, by a processor, privacy preferences entered by a user of the vehicle; receiving, by the processor, the data collected from the vehicle; distorting, by the processor, the data; downsampling, by the processor, the distorted data based on the privacy preferences; and communicating, by the processor, the downsampled, distorted vehicle data to a third-party entity.

Abstract: Methods and apparatus are provided for preserving privacy of data collected from a vehicle. In one embodiment, a method includes: receiving, by a processor, privacy preferences entered by a user of the vehicle; receiving, by the processor, the data collected from the vehicle; distorting, by the processor, the data; downsampling, by the processor, the distorted data based on the privacy preferences; and communicating, by the processor, the downsampled, distorted vehicle data to a third-party entity.