International Business Machines Corporation

Martin Rehm

Edward W Chencinski

Michael Jung

Philip A Sciuto

Marc Henri Coq

Samuel R Connor

Christine Axnix

Hubert Harrer

Katharina Scharff

A method for detecting information breach in a computer system. The method comprises: detecting a radio frequency signal in an area of the computer system. A set of samples of the radio frequency signal may be input to a machine learning model. An output of the machine learning model may be received. The output indicates whether the detected radio frequency signal is anomalous. An alarm signal may be generated in case the detected radio frequency signal is predicted as an anomalous signal.

Detecting information breach in a computer system

Processing, such as debug and/or recovery processing, within a communications environment is facilitated. Responsive to detecting an event, a stop signal is propagated through a communications network of the communications environment, and each network element that receives the stop signal, transmits the signal to its neighbors (if any), and then performs an action depending on its specific programming. The action can be to take no action, perform a debugging action or perform a recovery action. The elements that receive the signal and perform the same action as other elements form a coordinated network providing a coordinated result.

Facilitating processing in a communications environment using stop signaling

Fast error reporting is provided in networks that have an architected delayed error reporting capability. Errors are detected and reported without having to wait for a timeout period to expire. Further, failures of other components caused by the delay are avoided, since the delay is bypassed.

Sideband error signaling

Growing community of inventors

Boeblingen, Germany

Martin Rehm