Abstract: A method for a story fill authentication process includes, responsive to receiving a first authentication request to authenticate a user, displaying a first generated story with one or more obfuscated portions, where the first generated story is based on event data associated with a first previously captured event and additional data utilized to enrich the event data for the first previously captured event. The method also includes, responsive to determining text provided for the one or more obfuscated portions of the first generated story at least meets a comparison threshold level to a first complete generated story based on a semantic comparison, granting the user access to a resource associated with the first authentication request.

Abstract: A method for a two-factor authentication process includes, responsive to determining a first user authentication was prompted in a first application on a first device associated with a user, identifying a second application on a second device based on a user profile associated with the user. The method identifies a first event from a plurality of events that previously occurred in the second application in a select time frame, wherein the first event relates to a first action performed by the user in the second application. The method generates an authentication question based on the first event, wherein the authentication question is a second user authentication. Responsive to determining an answer provided by the user to the authentication question is correct, the method grants access to the first user authentication prompt.

Abstract: Method and apparatus for generating profiles using machine learning and influencing online interactions are provided. The methods include generating a user profile specifying a plurality of attribute values for a plurality of principle attributes, by processing a corpus of electronic documents using a first trained machine learning model. In an embodiment, the method further comprises generating a provider profile specifying a plurality of attribute values for the plurality of principle attributes, for each of a plurality of providers, by processing a respective corpus of electronic documents associated with each respective provider using a second trained machine learning model. A plurality of match coefficients based on comparing the user profile and the plurality of provider profiles are determined. Finally, one or more online interactions between the user and the target provider are influenced based on the determined match coefficients.

Abstract: Peer-to-peer transfer of compute function state in an edge computing ecosystem is provided. An availability score corresponding to a mobile computing device is received. It is determined whether the availability score is less than an availability score threshold. In response to determining that the availability score is less than the availability score threshold, departure coordinates of the mobile computing device from the edge computing ecosystem and departure time are determined. At least one peer mobile computing device is identified having a corresponding availability score greater than the availability score threshold, a corresponding security profile that at least matches a security profile of the mobile computing device, and a corresponding compute power capability that at least matches a compute power capability of the mobile computing device. A compute function state of the mobile computing device is transferred to the at least one peer mobile computing device.

Abstract: Method and apparatus for generating profiles using machine learning and influencing online interactions are provided. The methods include receiving, from a first user of a plurality of users, a first set of electronic documents, where each electronic document in the first set of electronic documents corresponds to a respective user in the plurality of users. The methods also include identifying a plurality of user profiles, where each of the plurality of user profiles was generated by processing a corpus of electronic documents associated with each respective user using a first trained machine learning model. The methods include determining a plurality of match coefficients, based on comparing a plurality of user profiles associated with each respective user in the plurality of users, filtering the first set of electronic documents based on the plurality of match coefficients, and providing the filtered first set of electronic documents to the first user.

Abstract: Provided is a method for disambiguating an audio component extracted from audiovisual content. Audiovisual content is identified. The audiovisual content includes an audio component and a video component. An ambiguous expression is detected in the audio component. An object referenced by the ambiguous expression is identified in the video component. A verbal description of the object is generated. The verbal description is injected into the audio component to generate a modified audio component.

Abstract: An approach is provided in which the approach analyzes a set of code artifact changes from historical updates of a software application. The approach determines that a first code artifact and a second code artifact change in tandem and generates a change template based on the set of code artifact changes. The approach uses the change template to update the software application in response to receiving a request to apply the change template to the software application.

Abstract: An approach is provided in which the approach analyzes a set of code artifact changes from historical updates of a software application. The approach determines that a first code artifact and a second code artifact change in tandem and generates a change template based on the set of code artifact changes. The approach uses the change template to update the software application in response to receiving a request to apply the change template to the software application.

Abstract: Peer-to-peer transfer of compute function state in an edge computing ecosystem is provided. An availability score corresponding to a mobile computing device is received. It is determined whether the availability score is less than an availability score threshold. In response to determining that the availability score is less than the availability score threshold, departure coordinates of the mobile computing device from the edge computing ecosystem and departure time are determined. At least one peer mobile computing device is identified having a corresponding availability score greater than the availability score threshold, a corresponding security profile that at least matches a security profile of the mobile computing device, and a corresponding compute power capability that at least matches a compute power capability of the mobile computing device. A compute function state of the mobile computing device is transferred to the at least one peer mobile computing device.

Abstract: A method and system for replacing a hardware device is provided. The method includes detecting current utilization attributes of an Internet of things (IOT) device connected to a server device through a network. Recommended utilization attributes of the IOT device are retrieved and analyzed with respect to the current utilization attributes. It is determined that the current utilization attributes do not equal a threshold value associated with the recommended utilization attributes and optimal utilization attributes for replacing the IOT device are determined. A network based search for locating a replacement IOT device is executed and associated results are presented to a user. A resulting process for securing the replacement device is executed.

Abstract: Embodiments for enhancing privacy and security of an image by a processor. Metadata associated with the image is configured with a usage designation, the usage designation having accompanying notification information for notifying an owner of the usage designation if a condition of the usage designation is met.

Abstract: An ambience adjustment method, system, and non-transitory computer readable medium, includes identifying an ambient condition in a user profile for a most similar first device to a second device and setting the ambient condition of the most similar first device as the ambient condition in the user profile of the second device.

Abstract: A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.

Abstract: Embodiments for scheduling the delivery of multiple medications to a patient by a processor. Any interactions between the multiple medications or between one of the multiple medications and a type of food are considered to construct an analytical model to identify an optimized schedule for delivery of the multiple medications to the patient. The optimized schedule is adjusted in real time as additional information concerning the multiple medications and the type of food are introduced, and delivered to a dispensing device associated with the one of the multiple medications.

Abstract: A method for event data fencing includes initializing a media monitoring algorithm, wherein the media monitoring algorithm scans for one or more words relating to a data breach in publicly available reports. Responsive to identifying a report from the publicly available reports relating to a vulnerability associated with the data breach, the method determines whether the vulnerability is associated with event data utilized for an authentication process. Responsive to determining the vulnerability is associated with a portion of the event data utilized for the authentication process, the method fences the portion of event data associated with the vulnerability, wherein fencing prevents the portion of event data from being utilized in the authentication process.

Abstract: A method for a two-factor authentication process includes, responsive to determining a first user authentication was prompted in a first application on a first device associated with a user, identifying a second application on a second device based on a user profile associated with the user. The method identifies a first event from a plurality of events that previously occurred in the second application in a select time frame, wherein the first event relates to a first action performed by the user in the second application. The method generates an authentication question based on the first event, wherein the authentication question is a second user authentication. Responsive to determining an answer provided by the user to the authentication question is correct, the method grants access to the first user authentication prompt.

Abstract: Disclosed embodiments provide techniques for determining mobile device edge computing participation eligibility. Multiple mobile devices are identified for potential participation in an edge computing network. An eligibility score is computed for each mobile device of the plurality of mobile devices based on an estimated likelihood that the mobile device will remain within a predetermined distance of a local edge process server of an edge computing network for a duration exceeding a job time. One or more mobile devices are selected for participation in the edge computing network based on their respective eligibility scores.

Abstract: Disclosed aspects relate to managing a set of offers using a dialogue. An adaptive profile may be received with respect to a client. The adaptive profile may indicate a set of client profile data, a set of client event data, and a set of client context data. A dialogue may be established with the client based on the adaptive profile. A set of offers may be resolved by an offer management engine based on the dialogue. The set of offers may be presented to the client.

Abstract: A method includes determining, using a processor system, that a portion of media content is objectionable to an audience based at least on a comparison between an identified aspect of the portion of media content and a first set of preferences associated with the audience. The first set of preferences defines a type of media content corresponding to the portion of media content as being objectionable to the audience. The audience is associated with a primary viewing device. The method also includes determining that the portion of media content is not objectionable to a member of the audience based at least on a second set of preferences. The second set of preferences defines the type of media content corresponding to the portion of media content as not being objectionable to the member. The method can transmit the portion of the media content to a secondary display device of the member.

Abstract: A method according to one embodiment is for transmitting a message. In one embodiment, one or more processor of a messaging system identifies a certain message of the messaging system, the certain message being a blocked message intended for transmission to a certain user of the messaging system. In one embodiment, the one or more processor further determines one or more of a popularity of content of the certain message and a relevance of content of the certain message to the certain user, the certain user being a prospective recipient of a message. In one embodiment, the one or more processor transmits a message to the certain user responsively to a result of the determining of the one or more of a popularity of content of the certain message and a relevance of content of the certain message to the certain user of the messaging system.