Abstract: Systems, methods, and non-transitory computer-readable media can access a set of identified illegitimate incidents intended to be automatically disabled. One or more rules for determining misidentified illegitimate incidents can be acquired. It can be determined, based on the one or more rules, that at least a subset, out of the set of identified illegitimate incidents, has at least a threshold likelihood of being misidentified. Further processing can be performed with respect to at least the subset to prevent at least the subset from being automatically disabled.

Abstract: Systems, methods, and non-transitory computer readable media configured to receive an advertisement including an image. A fraud assessment value for the advertisement can be determined. An image assessment value for the image can be determined. The fraud assessment value and a threshold value for fraud assessment can be compared. The image assessment value and a threshold value for image assessment can be compared. Fraud associated with the advertisement can be determined based on comparison of the fraud assessment value and the threshold value for fraud assessment and comparison of the image assessment value and the threshold value for image assessment.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of accounts associated with a specified time frame. One or more features and one or more feature combinations can be analyzed for each account in the set. Feature metrics for the one or more features and the one or more feature combinations can be determined for each account in the set. Threshold values for the feature metrics can be acquired. At least one rule can be implemented based on at least some of the feature metrics and at least some of the threshold values.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a plurality of model scores for a set of accounts. Each model score in the plurality of model scores can be associated with at least one account in the set of accounts. The plurality of model scores can be ranked in descending order. One or more metrics can be determined for each model score in the plurality of model scores based on information about the at least one account associated with each model score. Specified criteria for selecting a model threshold utilized in identifying illegitimate accounts can be acquired. The specified criteria can be based on at least some of the one or more metrics. The model threshold can be selected as corresponding to a lowest ranked model score that satisfies the specified criteria. It is contemplated that there can be many variations and/or other possibilities.

Abstract: Systems, methods, and non-transitory computer readable media are configured to determine feature metrics associated with a value of a feature relating to a set of accounts. A combined score associated with the value of the feature can be generated based on a Pythagorean expectation formula and the feature metrics. At least one rule can be applied to redress illegitimate accounts from the set of accounts based on at least the combined score.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of accounts associated with a specified time frame. One or more features and one or more feature combinations can be analyzed for each account in the set. Feature metrics for the one or more features and the one or more feature combinations can be determined for each account in the set. Threshold values for the feature metrics can be acquired. At least one rule can be implemented based on at least some of the feature metrics and at least some of the threshold values.

Abstract: Systems, methods, and non-transitory computer readable media configured to receive an advertisement including an image. A fraud assessment value for the advertisement can be determined. An image assessment value for the image can be determined. The fraud assessment value and a threshold value for fraud assessment can be compared. The image assessment value and a threshold value for image assessment can be compared. Fraud associated with the advertisement can be determined based on comparison of the fraud assessment value and the threshold value for fraud assessment and comparison of the image assessment value and the threshold value for image assessment.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of accounts associated with a specified time frame. One or more features and one or more feature combinations can be analyzed for each account in the set. Feature metrics for the one or more features and the one or more feature combinations can be determined for each account in the set. Threshold values for the feature metrics can be acquired. At least one rule can be implemented based on at least some of the feature metrics and at least some of the threshold values.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a set of accounts associated with a specified time frame. One or more features and one or more feature combinations can be analyzed for each account in the set. Feature metrics for the one or more features and the one or more feature combinations can be determined for each account in the set. Threshold values for the feature metrics can be acquired. At least one rule can be implemented based on at least some of the feature metrics and at least some of the threshold values.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a plurality of model scores for a set of accounts. Each model score in the plurality of model scores can be associated with at least one account in the set of accounts. The plurality of model scores can be ranked in descending order. One or more metrics can be determined for each model score in the plurality of model scores based on information about the at least one account associated with each model score. Specified criteria for selecting a model threshold utilized in identifying illegitimate accounts can be acquired. The specified criteria can be based on at least some of the one or more metrics. The model threshold can be selected as corresponding to a lowest ranked model score that satisfies the specified criteria. It is contemplated that there can be many variations and/or other possibilities.

Abstract: Systems, methods, and non-transitory computer-readable media can access a set of identified illegitimate incidents intended to be automatically disabled. One or more rules for determining misidentified illegitimate incidents can be acquired. It can be determined, based on the one or more rules, that at least a subset, out of the set of identified illegitimate incidents, has at least a threshold likelihood of being misidentified. Further processing can be performed with respect to at least the subset to prevent at least the subset from being automatically disabled.