Abstract: A method for discontinuing interaction processing using an enumeration detection system may include receiving data associated with a plurality of interaction instances. The plurality of interaction instances may be associated with an entity. The method may further include extracting one or more interaction features from the data. The method may further include providing the one or more interaction features to a determinative machine-learning model. The determinative machine-learning model may be trained to identify enumeration patterns and output an enumeration score based on the identified enumeration patterns. The method may further include determining that the enumeration score exceeds a predetermined threshold. The method may further include discontinuing interaction processing for the entity based on the enumeration score exceeding the predetermined threshold.

Abstract: A test architecture and method of testing are disclosed to allow multiple scan controllers, which control different scan chain designs in multiple logic blocks, to share a test access mechanism. During test mode, the test architecture is configured to decouple clock sources of the test access mechanism, the scan controllers and the scan chains.

Abstract: A test architecture and method of testing are disclosed to allow multiple scan controllers, which control different scan chain designs in multiple logic blocks, to share a test access mechanism. During test mode, the test architecture is configured to decouple clock sources of the test access mechanism, the scan controllers and the scan chains.