Method and apparatus for spoofing prevention

A method for spoofing prevention, comprising:

• acquiring, via interface circuitry installed in a vehicle, one or more sensor data generated by one or more sensors including information to identify traffic information;
• annotating, via processing circuitry, the one or more sensor data to obtain sensor information, the sensor information extracting traffic information that the one or more sensor data carries, the one or more sensor data annotation being implemented by at least one of a signal processing, an image processing, and a video processing;
• determining whether sensor data is abnormal sensor data that fails to capture surrounding traffic information, the sensor data having all black pixels when abnormal;
• discarding the abnormal sensor data that fails to capture surrounding traffic information;
• acquiring, via the interface circuitry, traffic reference information from a database;
• after discarding the abnormal sensor data, comparing, using the processing circuitry, the sensor data, other than the discarded abnormal sensor data, with the traffic reference information;
• after discarding the abnormal sensor data, identifying, using the processing circuitry, whether the sensor data, other than the discarded abnormal sensor data, is part of a spoofing attempt based on the comparison between the sensor data and the traffic reference information, the spoofing attempt being identified when a portion of the sensor data differs from the traffic reference information that is contemporarily generated with acquisition of the sensor data;
• and
• informing, via the interface circuitry, the vehicle to ignore the portion of the sensor information that is associated with the spoofing attempt when the spoofing attempt is identified,
• wherein the comparing the sensor information and the traffic reference information includes comparing signal intensity, signal frequency, signal period, signal amplitude, signal rise and fall times, source location, and minimum and maximum values between the sensor data and the traffic reference information, and
• the abnormal sensor data is generated by either a sensor that is malfunctioning or a sensor that is attacked.

An apparatus for spoofing prevention, comprising:

• one or more sensors, the one or more sensor installed in a vehicle and configured to generate one or more sensor data, the one or more sensor data carrying traffic information that the vehicle encounters during driving;
• and
• processing circuitry configured to:
• acquire, via interface circuitry, the one or more sensor data from the one or more sensors;
• annotate the one or more sensor data to obtain sensor information, the sensor information extracting the traffic information that the one or more sensor data carries, the one or more sensor data annotation being implemented by at least one of a signal processing, an image processing, and a video processing;
• determine whether sensor data is abnormal sensor data that fails to capture surrounding traffic information, the sensor data having all black pixels when abnormal;
• discard the abnormal sensor data that fails to capture the surrounding traffic information;
• after discarding the abnormal sensor data, determine whether the sensor data is part of a spoofing attempt by comparing the sensor data, other than the discarded abnormal sensor data, to sensor data from multiple sensors to determine whether the sensor data is inconsistent with the sensor data from the multiple sensors, the sensor data being determined to be inconsistent with the sensor data from the multiple sensors when traffic information therein differs from traffic information in the sensor data from the multiple sensors, the sensor data and the sensor data from the multiple sensors being contemporaneously generated;
• inform, via the interface circuitry, the vehicle to ignore a portion of the sensor information that is associated with the spoofing attempt when the spoofing attempt is identified,
• wherein the comparing the sensor information and the traffic reference information includes comparing signal intensity, signal frequency, signal period, signal amplitude, signal rise and fall times, source location, and minimum and maximum values between the sensor data and the traffic reference information, and
• the abnormal sensor data is generated by either a sensor that is malfunctioning or a sensor that is attacked.