Remote interference assessment and response for autonomous vehicles

A computer program product comprising a computer-readable storage medium having a set of instructions stored therein which, when executed by a processor, causes the processor to secure an autonomous vehicle by:

• classifying network communications received at a set of communication ports within a vehicle;
• determining a risk level for network communications having target classifications;
• responsive to a set of high-risk communication, determining an impact level for each high-risk communication of the set of high-risk communications;
• assigning a set of suspicion scores to high-risk communications of the set of high-risk communications received during a tracking period, each suspicion score being a mathematical combination of the risk level and the impact level determined for a respective high-risk communication received during the tracking period;
• determining, for the vehicle, a risk exposure score corresponding to the set of suspicion scores assigned to the high-risk communications received during the tracking period;
• and
• taking an interference response assigned to the risk exposure score;
• wherein:
• the high-risk communications of the set of high-risk communications are network communications assigned risk levels meeting a threshold value.

A computer system for securing an autonomous vehicle, the computer system comprising:

• a processor set;
• and
• a computer readable storage medium;
• wherein:
• the processor set is structured, located, connected, and/or programmed to run program instructions stored on the computer readable storage medium;
• and
• the program instructions which, when executed by the processor set, cause the processor set to secure the autonomous vehicle by:
• classifying network communications received at a set of communication ports within a vehicle;
• determining a risk level for network communications having target classifications;
• responsive to a set of high-risk communication, determining an impact level for each high-risk communication of the set of high-risk communications;
• assigning a set of suspicion scores to high-risk communications of the set of high-risk communications received during a tracking period, each suspicion score being a mathematical combination of the risk level and the impact level determined for a respective high-risk communication received during the tracking period;
• determining, for the vehicle, a risk exposure score corresponding to the set of suspicion scores assigned to the high-risk communications received during the tracking period;
• and
• taking an interference response assigned to the risk exposure score;
• wherein:
• the high-risk communications of the set of high-risk communications are network communications assigned risk levels meeting a threshold value.