International Business Machines Corporation

Thomas S Wallace

Eric B Libow

Pu Yang

Walker L Sherk

Ajit Jariwala

Srinivas Babu Tummalapenta

Gary I Givental

Aankur Bhatia

Christopher Robert Florence

Donald Alexander Bourne

Roger Michael Meli

Michael LaVerna Wamboldt

Carolyn Haibt Norton

Jordan T Moore

Jackson P Leonard

Chadwick M Baatz

A method, computer system, and a computer program product for dynamic internet of things (IoT) device grouping is provided. After an initial location of an IoT device is set, a current location of the IoT device is later determined. Thereafter, the determined current location is compared to the initial location. Responsive to determining that the current location does not match the initial location based on the comparing, a new IoT device group is assigned to the IoT device.

Location-based dynamic grouping of IoT devices

A method identifies and prioritizes anomalies in received monitoring logs from an endpoint log source. One or more processors identify anomalies in the monitoring logs by applying a plurality of disparate types of anomaly detection algorithms to the monitoring logs, and then determine a likelihood that the identified anomalies are anomalous based on outputs of the plurality of disparate types of anomaly detection algorithms. The processor(s) then prioritize the monitoring logs based on the likelihood that the identified anomalies are actually anomalous, and send prioritized monitoring logs that exceed a priority level to a security information and event management system (SIEM).

Detecting and responding to an anomaly in an event log

Updating a profile includes monitoring electronic communications between a target user and a number of other users in real-time, extracting communicated information available about the target user and the number of other users from the electronic communications, based on an analysis of the communicated information available about the target user and the number of other users identifying relevant information from the communicated information that is relevant for updating the profile of the target user on at least one social network, and updating the profile of the target user on the at least one social network using the relevant information derived from the analysis.

Updating a profile

Updating a profile includes monitoring electronic communications between a target user and a number of other users in real-time, extracting communicated information available about the target user and the number of other users from the electronic communications, based on an analysis of the communicated information available about the target user and the number of other users identifying relevant information from the communicated information that is relevant for updating the profile of the target user on at least one social network, and updating the profile of the target user on the at least one social network using the relevant information derived from the analysis. In an embodiment, a number of prompts are presented to the target user to allow the target user to validate the relevant information before updating the profile.

Controlling release of earthquake energy, in one aspect, may include a controller device injecting fluid into bore holes at dynamically regulated levels to cause controlled seismic events. The bore holes are placed along a fault line with a potential for hazardous earthquakes, and installed with sensors and fluid flow controls communicating with the controller device. The seismic events caused by injecting the fluid are monitored via the sensors. Based on the monitoring, the injecting of the fluid to one or more of the bore holes may be regulated dynamically to control the sizes of the seismic events along the fault line.

Controlled fluid injection to reduce potential seismic energy along fault lines

Systems and methods of managing problem determination (PD) data provide for obtaining PD data from a plurality of data sources via an input/output (I/O) interface of a data management device and storing the PD data to a memory of the data management device. In addition, an automated diagnostic analysis of the PD data may be conducted on the data management device. An automated discovery manager may provide the ability to find new sources of PD data and to either reconfigure remote systems to send data to the data management device or to automatically retrieve data from remote systems on a configurable schedule. Dynamically updateable database of symptom information can also be used, wherein the data management device may include a dynamically updateable set of analysis modules with which to conduct analysis on the PD data.

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Hillsborough, NC, United States of America

Thomas S Wallace