International Business Machines Corporation

Yogendra K Srivastava

Sushain Pandit

Brian Patrick Byrne

Kalaivanan Saravanan

Matthew Albert Huras

Thomas James Heller, Jr

Mark Francis Wilding

Robert J Blainey

Alexander Abrashkevich

Dmitri Abrashkevich

Sridhar Munireddy

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.

Counter-fraud operation management

Embodiments of the invention provide a method for regaining memory consistency after a trap via transactional memory. Transactional memory and a transactional memory log are used to undo changes made to memory from a transaction start point up to the point of a trap event. After the trap event is processed, and the changes are rolled back, the program can resume execution at the beginning of the transaction.

Methods, apparatus and articles of manufacture for regaining memory consistency after a trap via transactional memory

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Gurgaon, India

Yogendra K Srivastava