International Business Machines Corporation

Kyndryl, Inc.

Rosana Rueda Elias

Helio Leonardo Pinheiro E Mota

Renata Balthazar De Lima Mussauer

Rafael Risso Moleiro

Juscelino Candido De Lima Junior

Marcos Vinicius L Paraiso

Aldair F Filho

Jose Gilberto Biondo Junior

Marcelo Lopes De Moraes

Matheus Bitencourt Rangel Dantas

Ana Silvia Moretto Braga

Deduplication of encrypted data using multiple keys includes responding to a request to store a predetermined set of data in an electronic data store by receiving a hash corresponding to the predetermined set of data, receiving encrypted data generated by encrypting the predetermined set of data using an encryption key, and receiving a key index corresponding to the encryption key. The hash may be determined to match a previously stored hash, the previously stored hash indicating that a previously encrypted version of the predetermined set of data is stored at a physical location in the electronic data store. Based on determining that the hash matches a previously stored hash, the hash, encrypted data, and key index are discarded.

Deduplication of encrypted data using multiple keys

A computer-implemented method to identify unauthorized use of a device based on a usage pattern. The method includes tracking usage of a device, wherein the usage includes activity by a user interacting with the device. The method includes identifying a usage pattern, wherein the usage pattern is based on usage data. The method further includes generating, based on the usage pattern, a heatmap. The method includes predicting future usage of the device by the user, wherein the predicting includes generating a Markov chain of the predicted future usage. The method also includes determining actual usage is different than the predicted usage. The method further includes calculating, in response to determining the actual usage is different than the predicted future usage, a difference score. The method includes determining the difference score is above a difference threshold, and activating, in response to the difference score being above the difference threshold, an alert.

Identifying anomolous device usage based on usage patterns

Authenticating a message by receiving a first message from a source, generating a touch activation matrix from the first message, the touch activation matrix comprising touchscreen data associated with the first message, generating a second message from the touch activation matrix, determining a first legitimacy state by comparing the first message and the second message, determining a second legitimacy state using a discriminator network, determining a categorization for the first message according to the first and second legitimacy states, and sending the categorization for the first message to the source.

Message authentication using generative adversarial networks

An approach for allocating mainframe resources in a networked computing environment (e.g., a cloud computing environment) is provided. In an embodiment, each workload that executes on a mainframe system is classified into one or a plurality of workload classes. Each workload class has workloads that share a common objective. A historical allocation of initiators for each workload class over time is analyzed. Based on this analysis, a number of allocation selections, which each assign a number of initiators to each workload class, are generated based on the historical utilization data. The allocation selection that is ultimately implemented is selected from these allocation selections based on KPI factors.

Optimizing initiator allocation

Growing community of inventors

Campinas, Brazil

Rosana Rueda Elias