AUTOMATED DETECTION OF VEHICLE DATA MANIPULATION AND MECHANICAL FAILURE

Disclosed are systems and methods to detect and identify vehicular anomalies. Techniques to detect and identify the vehicular anomalies include receiving signals from various sensors, grouping the signals into detection sets, detecting anomalies by a comparison to vehicle behavior models, and cross-referencing the detection sets with each other to narrow down and identify the source of the anomaly. The detection sets may be grouped such that facets of vehicle maneuverability are captured and cover causal relations between different maneuverability mechanisms.