Abstract: Example embodiments of the present invention relate to a method, an apparatus and a computer-program product for implementing digital disappearing ink. An example method includes receiving portions of a data stream transmitted from a source and analyzing the portions of the data stream. Based on the analysis, the method includes performing an action with respect to an object tag according to the analysis.

Abstract: Example embodiments of the present invention relate to a method, an apparatus and a computer-program product for implementing digital disappearing ink. An example method includes receiving portions of a data stream transmitted from a source and analyzing the portions of the data stream. Based on the analysis, the method includes performing an action with respect to an object tag according to the analysis.

Abstract: Private information is frequently made public or semi-public, often without foresight as to the consequences of such a divulgence. Additionally, intentionally divulged information that is intended to be maintained as private is routinely sold to advertisers and information brokers. Example embodiments of the present invention relate to a method, an apparatus and a computer-program product for encrypting privacy-related information in a data stream. The method includes receiving a data stream transmitted from a source. A contextual analysis is then performed on the content of privacy-related portions of the data stream. The privacy-related portions of the data stream are then encrypted according to the contextual analysis before being forwarded to the intended destination.

Abstract: Example embodiments of the present invention provide a method, an apparatus, and a computer program product for correlating privacy-related portions of a data stream with information indicative of a privacy policy. The method includes receiving privacy-related portions of a data stream transmitted from a source intended for a destination and receiving information indicative of a privacy policy associated with the destination. The privacy-related portions of the data stream then may be correlated with the information indicative of the privacy policy. According to this correlation, the privacy-related portions of the data stream may be forwarded to the destination.

Abstract: A work package is obtained defining a data analytic plan for analyzing a given data set associated with a given data problem. The work package is generated in accordance with an automated data analytics lifecycle. The data analytic plan and the given data set are analyzed. Based on at least a portion of results of the analysis, at least one of a cost parameter and a time parameter is computed for one or more computing resource configurations proposed for implementing the data analytic plan. One of the one or more computing resource configurations is selected based on at least one of the cost parameter and the time parameter. A computing resource infrastructure is caused to be provisioned in accordance with the selected computing resource configuration. The above steps are performed on one or more processing elements associated with a computing system.

Abstract: Example embodiments of the present invention relate to a method, an apparatus and a computer-program product for friendly man-in-the-middle data stream correlation. An example method includes receiving a data stream transmitted from a source intended for a destination. A contextual analysis of portions of the data stream then may be performed, with respective portions of the data stream being correlated according to the contextual analysis.

Abstract: Example embodiments of the present invention relate to a method, an apparatus and a computer-program product for man-in-the-middle agent-assisted client filtering. An example method to be performed by the man-in-the-middle includes receiving portions of a data stream transmitted from a source and performing an analysis of the portions of the data stream. Based on the analysis, the man-in-the-middle then may interact with the source. An example method to be performed by an agent at the source includes providing portions of a transmitted data stream to the man-in-the-middle and interacting with the man-in-the-middle.

Abstract: Information processing techniques for generating privacy ratings for services that are available via a cloud infrastructure, e.g., cloud services. For example, a method comprises the following steps. Data indicative of privacy attributable to at least one of a service and a provider of the service accessible in a cloud infrastructure is collected. A privacy rating is generated for at least one of the service and the provider of the service based on at least a portion of the collected data.

Abstract: An initial work package is obtained. The initial work package defines at least one hypothesis associated with a given data problem, and is generated in accordance with one or more phases of an automated data analytics lifecycle. A plurality of datasets is identified. One or more datasets in the plurality of datasets that are relevant to the at least one hypothesis are discovered. The at least one hypothesis is tested using at least a portion of the one or more discovered datasets.

Abstract: Example embodiments of the present invention provide a method, an apparatus and a computer program product for cookie anonymization and rejection. The method includes receiving a cookie included in a data stream transmitted from a source intended for a destination. A lexical analysis of the cookie included in the data stream is then performed to determine state information associated with the cookie. The state information associated with the cookie then may be forwarded to the destination according to the lexical analysis. Example embodiments of the present invention specifically targets cookies and beacons that flow through a system, and historically track cookie and beacon traffic in order to perform drill-down inspection on the contents. This inspection allows for detection of sensitive information such as credit cards, location, and any other personal info, as well as the potential presence of malware which is performing unusual behavior within the private system.

Abstract: An initial data analytic plan for analyzing a given data set associated with a given data problem is defined. At least a portion of original data in the given data set is conditioned to generate conditioned data. At least one model is selected to analyze at least one of the original data and the conditioned data. The at least one selected model is executed on at least one of a portion of the original data and a portion of the conditioned data. Results of the model execution are communicated to at least one entity, the results comprising a refined data analytic plan for analyzing the given data set. One or more computing resources are provisioned to implement the refined data analytic plan. The defining, conditioning, selecting, executing, communicating and provisioning steps are performed on one or more processing elements associated with a computing system and automate a data analytics lifecycle.