Counter-fraud operation management

Abstract

Disclosed aspects relate to counter-fraud operation management. A counter-fraud operation may be executed using an initial set of parameter values for a set of parameters of the counter-fraud operation. A set of user counter-fraud activities of a user may be monitored corresponding to a user interface. A set of user feedback data may be captured to determine a feedback-driven set of parameter values for a set of parameters of the counter-fraud operation. The feedback-driven set of parameter values may be determined for the set of parameters of the counter-fraud operation. The counter-fraud operation using the feedback-driven set of parameter values may be executed.

1 . A computer-implemented method for reducing a rate of false-positive alerts by a counter-fraud management system, the method comprising:
 executing, with respect to a first set of data, a counter-fraud operation using an initial set of parameter values for a set of parameters of the counter-fraud operation;   monitoring, related to identifying false-positive alerts by the counter-fraud management system with respect to the first set of data, a set of user counter-fraud activities of a user corresponding to a user interface of the counter-fraud management system;   capturing, based on the set of user counter-fraud activities relating to identifying false-positive alerts with respect to the first set of data, a set of user feedback data to determine a feedback-driven set of parameter values for the set of parameters of the counter-fraud operation, wherein the set of user feedback data comprises a set of user-interaction module data based on a set of user-accessed modules of the set of user counter-fraud activities;   computing, based on the set of user feedback data, a set of activity complexity scores which pertains to the set of user counter-fraud activities relating to identifying false-positive alerts with respect to the first set of data, wherein the set of activity complexity scores include numerical values assigned to each of the user counter-fraud activities indicating a degree of interaction between the user and the set of user-accessed modules of the set of user counter-fraud activities, wherein a high activity complexity score indicates the user had difficulty identifying a false-positive alert with respect to the first set of data, and a low activity complexity score indicates the user had no difficulty identifying a false-positive alert with respect to the first set of data;   weighting, using a set of module abstraction scores which pertains to the set of user-accessed modules of the set of user counter-fraud activities relating to identifying false-positive alerts with respect to the first set of data, the set of activity complexity scores, wherein the weights applied to the set of activity complexity scores indicate a level of importance of the interaction between the user and the set of user-accessed modules of the set of user counter-fraud activities;   determining, based on the weighted set of activity complexity scores which pertains to the set of user counter-fraud activities relating to identifying false-positive alerts with respect to the first set of data, the feedback-driven set of parameter values for the set of parameters of the counter-fraud operation;   executing, with respect to a second set of data, the counter-fraud operation using the feedback-driven set of parameter values for the set of parameters of the counter-fraud operation based on the weighted set of activity complexity scores;   configuring the feedback-driven set of parameter values for the set of parameters to include a set of triggering thresholds for the set of parameters of the counter-fraud operation; and   providing, in response to an achievement of the set of triggering thresholds, an alert.