International Business Machines Corporation

Marco Simioni

Stefano Braghin

Killian Levacher

Beat Buesser

Pierpaolo Tommasi

Ngoc Minh Tran

Ambrish Rawat

Christian Pinto

Michele Gazzetti

Michael Johnston

Ioannis Gkoufas

Yiannis Gkoufas

Stephane Deparis

Vasileios Vasileiadis

Mark Purcell

Hessel Tuinhof

Disclosed are techniques for linking information about individual entities across multiple datasets. A target dataset with some information corresponding to at least one attribute of an entity is received. Semantic processing is performed on the target dataset to extract semantic representations of the information and corresponding attributes, which is utilized to search at least one other dataset for additional information that is absent from the target dataset, corresponding to at least one attribute of the entity, which are used to augment the target dataset with additional information corresponding to the entity. This is repeated iteratively, with each subsequent iteration including semantic representations of information found in the searches of previous iterations until no additional information about the entity is found when searching the multiple datasets with semantic representations of the now augmented target dataset. In some embodiments the augmented target dataset is used for determining privacy risks for the entity.

Augmented privacy datasets using semantic based data linking

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to facilitating a process to compensate a service being provided over a network connection. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a determination component that determines a network connection between a server and a client node, and a predictive component that predicts, employing machine learning, a graphical representation update to a service provided by the server over the network connection. The predictive component can generate the prediction in response to a decrease in bandwidth and/or an increase in latency of a network connection. A training component can train a machine learning model employed by the predictive component based on historical data of the service provided by the server.

AI-based compensation of resource constrained communication

Embodiments for providing enhanced data protection for storage systems in a computing environment by a processor. One or more queries received by a storage system may be identified. Approval or denial of transmission of data with the storage system may be regulated in relation to the one or more queries based a queried metadata and a plurality of rules and administrative policies.

Regulation based protection of data for storage systems

A method, system, and computer program product are disclosed. The method includes processing an audio signal that includes speech data and transcribing the speech data to generate text data. The method also includes identifying a vulnerable portion of the text data and, in response, applying adversarial text to the text data to generate robust text data. Adversarial noise corresponding to the robust text data is generated and applied to the speech data.

Adversarial speech-text protection against automated analysis

In an approach for transforming workflows based on goals and constraints, a processor receives a workflow definition and one or more events for a workflow output by a workflow orchestrator, wherein the one or more events are at least one of a parsing event and a scheduling event. A processor determines, using one or more transformers, one or more transformations to the workflow based on a set of goals and constraints, wherein the one or more transformations is at least one of addition of a new node, addition of a new graph, modification of at least one existing node, modification of at least one existing graph, removal of at least one existing node, and removal of at least one existing graph. A processor dynamically applies, using one or more enforcers, the one or more transformations to the workflow based on the set of goals and constraints.

Workflow transformation framework

A first copy of a heterogeneous program payload is provided to a first computing device. The heterogeneous program payload contains an unencrypted component and a set of one or more encrypted components. The set of encrypted components corresponding to a set of one or more programs. The unencrypted component of the heterogeneous program payload includes loader program code configured to receive a first license key. The loader program code is configured to, in response to receiving the first license key, perform a decryption action against the set of encrypted components of the heterogeneous program payload.

Software access through heterogeneous encryption

Systems and techniques that facilitate policy-driven views of datasets are provided. In various embodiments, a system can comprise a data component that can access a dataset. In various instances, the system can further comprise a view policy component that can respectively correlate a set of security credentials to a set of view instructions associated with the dataset. In various embodiments, the system can further comprise an input component that can receive as input a first security credential that is listed in the set of security credentials. In various aspects, the system can further comprise an output component that can identify a first view instruction that is listed in the set of view instructions associated with the dataset, wherein the first view instruction is respectively correlated to the first security credential. In various cases, the output component can generate as output a view of the dataset based on the first view instruction.

Policy-driven views of datasets

Embodiments of the invention are directed to techniques that include receiving a query intended for a targeted database and determining that the query is from an unauthorized user. A response is returned to the unauthorized user generated by a model, the response being dynamically generated to fulfill the query. The model is configured to generate responses consistent with any previous responses returned to the unauthorized user.

Defense of targeted database attacks through dynamic honeypot database response generation

Methods, systems and computer program products for protection of content repositories using dynamic watermarking are provided. Aspects include receiving a request for a code stored in a content repository from a user and identifying a plurality of candidate locations in the code to insert watermarks. Aspects also include generating one or more watermarks and inserting the one or more watermarks in a subset of the plurality of candidate locations in the code. Aspects further include providing the code, including the one or more watermarks, to the user.

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Dublin, Ireland

Marco Simioni