Estimating vessel intent
AssigneeThe Boeing Company
InventorsDebra A. Rigdon, Timothy A. Tibbetts
Life of this patent
Estimating the term…
Abstract
A computer implemented method includes receiving maritime vessel automatic identification system (AIS) data from a vessel. The method includes determining that the maritime vessel AIS data includes anomalous data. The method also includes estimating a likelihood of malicious vessel intent based on a comparison of the anomalous data to secondary data. In response to the likelihood of malicious vessel intent satisfying a threshold, the method further includes generating an alert that includes an indication of an inferred intent for the vessel.
Claims22
A computer implemented method comprising:
- receiving, at a computer, maritime vessel automatic identification system (AIS) data from a vessel;
- determining that the maritime vessel AIS data includes anomalous data;
- estimating a first likelihood of malicious vessel intent based on a comparison of the anomalous data to first data;
- estimating a second likelihood that the anomalous data is associated with a typographical error by comparing an anomalous identifying parameter of the anomalous data to an expected identifying parameter to generate a matching percentage, and wherein the anomalous data corresponds to the typographical error responsive to the matching percentage failing to satisfy a threshold percentage of matching between the anomalous identifying parameter and the expected identifying parameter;
- and
- in response to the first likelihood of malicious vessel intent satisfying a threshold and in response to the second likelihood indicating that the anomalous data does not correspond to the typographical error, generating an alert that includes an indication of an inferred intent of the vessel.
A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:
- receiving maritime vessel automatic identification system (AIS) data from a vessel;
- determining that the maritime vessel AIS data includes anomalous data;
- estimating a first likelihood of malicious vessel intent based on a comparison of the anomalous data to first data;
- estimating a second likelihood that the anomalous data is associated with a typographical error;
- in response to the first likelihood of malicious vessel intent satisfying a threshold and in response to the second likelihood indicating that the anomalous data does not correspond to a typographical error, generating an alert that includes an indication of an inferred intent of the vessel;
- estimating a third likelihood of malicious vessel intent based on a comparison of the anomalous data to second data;
- and
- in response to the third likelihood of malicious vessel intent satisfying a second threshold and in response to the second likelihood indicating that the anomalous data does not correspond to the typographical error, generating a second alert that includes a second indication of a second inferred intent for the vessel, wherein the threshold is distinct from the second threshold.
A system comprising:
- a processor;
- a memory in communication with the processor, the memory including instructions . executable by the processor to perform operations including:
- receiving maritime vessel automatic identification system (AIS) data from a vessel;
- determining that the maritime vessel AIS data includes anomalous data;
- estimating a likelihood of malicious vessel intent based on a comparison of the anomalous data to first data;
- estimating a second likelihood that the anomalous data is associated with a typographical error by comparing an anomalous identifying parameter of the anomalous data to an expected identifying parameter to generate a matching percentage, and wherein the anomalous data corresponds to the typographical error responsive to the matching percentage failing to satisfy a threshold percentage of matching between the anomalous identifying parameter and the expected identifying parameter;
- and
- in response to the likelihood of malicious vessel intent satisfying a threshold and in response to the second likelihood indicating that the anomalous data does not correspond to a typographical error, generating an alert that includes an indication of an inferred intent for the vessel.
Dependencies are inferred from the claim text.