International Business Machines Corporation

Martin Stephenson

Elizabeth Daly

Pierpaolo Tommasi

Killian Levacher

Stefano Braghin

Marco Luca Sbodio

Rahul Nair

Giovanni Russo

Spyros Kotoulas

Spyridon Antonatos

Theodora Brisimi

Aris Gkoulalas-Divanis

Eric P Bouillet

Debasis Ganguly

Joao H Bettencourt-Silva

Francesco Calabrese

Derek Wayne Botti

Alessandra Pascale

Lea Deleris

Naoise Holohan

Valentina Rho

Francesca Bonin

Bissan Ghaddar

Léa Deleris

Veli Bicer

Nuno Lopes

A method, system, and computer program product for behavior-based Internet of Things (IoT) device security are provided. The method detects an action from a set of IoT devices. A context is identified for the action and at least one IoT device of the set of IoT devices. The action and the context are validated for the at least one IoT device. The action is identified as an anomaly based on the validating of the action and the context. A potential state change is identified for the at least one IoT device based on the anomaly. The method determines a responsive action based on the potential state change and the anomaly.

Behavior driven security for IoT devices

Embodiments for providing intelligent land use planning recommendations using heterogeneous temporal datasets in a computing environment. One or more positive land-use interventions, one or more negative land-use interventions, or a combination thereof may be recommended for a selected geographical region from heterogeneous chronological data.

Land use planning recommendations using heterogeneous temporal datasets

Embodiments for entity transaction interaction analysis and summarization by a processor. Transaction elements relating to one or more entity transaction interactions may be identifies and extracted from one or more communications. The transaction elements may be combined with one or more transaction opportunities and transaction historical data to provide a transaction summary.

Transaction interaction analysis and summarization

Systems, computer-implemented methods, and computer program products that can facilitate sensitive data policy recommendation are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can employ an artificial intelligence model to extract compliance data from a data source. The computer executable components can further comprise a recommendation component that can recommend a sensitive data policy based on the compliance data. In some embodiments, the recommendation component can further identify one or more sensitive data entities of a sensitive data dataset that are affected by actionable obligation data of the data source.

Sensitive data policy recommendation based on compliance obligations of a data source

Various embodiments are provided for managing regulatory compliance for an entity in a computing environment by a processor. A law, policy, regulation, or a combination thereof extracted from one or more segments of text data from one or more data sources may be identified requiring an obligation to be performed by the entity.

Managing regulatory compliance for an entity

Embodiments for intelligent application development by a processor. One or more application code changes may be automatically into one or more application code change groups for a versioning system, wherein the one or more application code groups are logically consistent and self-contained.

Automatic generation of logically consistent application code change groups

To improve the security performance of a computer system, a retrieval component executing on at least one hardware processor obtains a list of known compromised passwords. A validation component executing on the at least one hardware processor obtains a specification of a putative password and risk-scores the putative password based at least in part on presence of the putative password in the list of known compromised passwords. The system obtains a specification of an actual password chosen in accordance with the risk score of the putative password. Access to at least one aspect of the computer system is controlled based on the actual chosen password.

Augmenting password generation and validation

A method for unsupervised transformation of denormalized data into RDF data includes summarizing an existing resource description framework (RDF) file wherein a data summary file is produced, wherein said RDF file includes a plurality of nodes, property labels, and literals and is represented as a directed graph, and said data summary file is a graph that includes a single instance of each node-property-literal triple in the RDF file; analyzing a plurality of denormalized records wherein a record summary is produced, wherein said record summary is represented as a directed graph with a root node corresponding to each record connected to a node for each field in the record; determining one or more transformation patterns that match elements of the record summary to elements of the data summary; and transforming the plurality of denormalized records into a new RDF file by executing one of the one or more transformation patterns.

Unsupervised method for enriching RDF data sources from denormalized data

Embodiments for intelligent facilitation of communication by a processor. A communication error in one or more selected portions of a communication of a user may be identified. The communication error in the one or more selected portions of the communication may be automatically translated.

Intelligent facilitation of communications

A first client device detects driving of a vehicle. The first client device establishes a passenger operation network connection with a second client device. The first client device receives, based on the established network connection and based on the detected driving of the vehicle, at least one instruction directed towards a first client operation of the first client device. The first client device executes, responsive to the received at least one instruction and based on the established network, the first client operation.

Passenger operation network concurrent with vehicle operation

Embodiments for extraction and summarization of decision discussions of a communication by a processor. The decision elements may be grouped together according to similar characteristics. The decision elements may be linked, and sentiments of the discussion participants towards each of the decision elements may be analyzed. A summary of the plurality of the decision elements may be provided via an interactive graphical user interface (GUI) on one or more Internet of Things (IoT) devices. The summary of the decision elements may be linked to domain knowledge. The summary may be enhanced using a domain knowledge.

Extraction and summarization of decision elements from communications

Embodiments for targeted learning and recruitment by a processor. Attributes obtained from a user profile are used to identify a user as a potential candidate for performing an activity related to either the recruiting or the learning and providing a customized learning experience with targeted course suggestions for the user.

Targeted learning and recruitment

A computer system, method, and computer readable product are provided for managing passwords using steganography. In various embodiments, a computing system provides a password manager that a user provides a password to. The user then selects a service for which credentials will be generated or stored, and an image on the user's device that will be used to steganographically store the credentials. The computing system then generates a steganographic image that includes the credentials and stores that image with the other images on the user's device.

Growing community of inventors

Ballynacargy, Ireland

Martin Stephenson