Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: In an approach to dynamic mute control for web conferencing, one or more computer processors detect a start of a collaborative meeting. One or more computer processors receive a request to enable a dynamic mute feature for a microphone associated with a device of a user. One or more computer processors mute the microphone. One or more computer processors monitor the collaborative meeting to derive context. One or more computer processors determine a request for the user to participate in the collaborative meeting. One or more computer processors calculate an unmute confidence score based on the derived context.

Abstract: A computer-implemented method for automatically migrating a cloud-based solution onto a datacenter is provided. The method may include populating and maintaining a corpus of datacenters. The method may further include implementing a machine-learning algorithm to identify different types of users and to generate a user profile for each type of user based on machine-learned user profile data. The method may further include detecting user experience with the cloud-based solution on one or more datacenters from the corpus of datacenters for each type of user based on the machine-learned user experience data. The method may further include correlating the machine-learned user profile data and user experience data with the current and previous computing capabilities and performance of each datacenter in the corpus. The method may also include automatically migrating the cloud-based solution onto the datacenter from the corpus of datacenters for the specific type of user based on the correlation.

Abstract: In an approach for dynamically adjusting parallel reality (PR) displays, a processor configures a viewing event. A processor receives data from data collecting devices located throughout a location of the viewing event. A processor classifies a crowd of the viewing event into at least two partitions using a learning-based neural network that ingests the data. A processor selects content to be displayed to each of the at least two partitions. A processor enables a PR display to simultaneously display the content to each of the at least two partitions.

Abstract: Embodiments relate to a system, program product, and method for reserving one or more meeting rooms, and, more specifically, for reserving one or more meeting rooms based on a determination of meeting confidentiality levels and determined Internet of things (IoT) privacy levels associated with the one or more meeting rooms.

Abstract: Described are techniques for preserving data security for sensitive information. The techniques including identifying sensitive information in first audio data from a first client device. The techniques further comprise generating second audio data including hashed sensitive information, where the hashed sensitive information comprises an audio clip that replaces the sensitive information and that is based on the sensitive information. The techniques further comprise transmitting the second data including the hashed sensitive information to a second client device. The techniques further comprise receiving third audio data including the hashed sensitive information from the second client device. The techniques further comprise generating fourth audio data by replacing the hashed sensitive information with the sensitive information and transmitting the fourth audio data including the sensitive information to the first client device.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can capture one or more interactions with an existing user interface displayed within a display screen. Embodiments of the present invention can then, in response to reaching a threshold level of interactions, dynamically generate an alternate user interface comprising one or more alternate interaction methods. Embodiments of the present invention can then overlay the alternate user interface over the existing user interface.

Abstract: A computer-implemented method, a computer program product, and a computer system for dynamically adjusting zoom settings in a multiple user environment. A server determines whether the multiple user environment is an environment of co-located users or an environment of distributed users. In response to determining the environment of the co-located users, the server determines an aggregated preference, determines an optimal zoom setting for a singular display based on the aggregated preference, and adjusts the singular display based on the optimal zoom setting for the singular display. In response to determining the environment of the distributed users, the server determines optimal zoom settings for respective ones of the multiple displays, based on preferences of respective ones of the distributed users, and the server adjusts the respective ones of the multiple displays, based on the optimal zoom settings for the respective ones of the multiple displays.

Abstract: A first user input is detected from a client device. The first user input is directed at a video content that includes a set of one or more topics, the first user input is from a viewer of the video content. A set of one or more frames in the video content is analyzed based on the first user input. A first topic in the video content is identified based on the set of frames and based on the viewer. The video content, related to the first topic of the set of topics, is altered based on the set of frames and based on the viewer.

Abstract: In an approach to dynamic mute control for web conferencing, one or more computer processors detect a start of a collaborative meeting. One or more computer processors receive a request enable a dynamic mute feature for a microphone associated with a device of a user. One or more computer processors mute the microphone. One or more computer processors monitor the collaborative meeting to derive context. One or more computer processors determine a request for the user to participate in the collaborative meeting. One or more computer processors calculate an unmute confidence score based on the derived context.

Abstract: A first user input is detected from a client device. The first user input is directed at a video content that includes a set of one or more topics, the first user input is from a viewer of the video content. A set of one or more frames in the video content is analyzed based on the first user input. A first topic in the video content is identified based on the set of frames and based on the viewer. The video content, related to the first topic of the set of topics, is altered based on the set of frames and based on the viewer.

Abstract: Embodiments of the present disclosure include a method for preventing attacks of audio-based virtual assistants, a system, and a computer program product. One embodiment of the method may comprise receiving an audio command at a first Internet-of-Things (IoT) device in a location, analyzing the audio command using one or more other IoT devices in the location, and performing an ameliorative action in response to an anomaly identified during the analyzing. The analyzing may include comparing the audio command received by the first IoT device to audio received by the one or more other IoT devices. The comparing may comprise computing a relative volume level. The comparing may further comprise computing an audio delay.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: A network of Internet of Things (IoT) devices can leverage sensor data from the IoT devices to detect that a device has been activated, determine whether the activation was intentional, and, if it were not, issue commands to deactivate the device. The network can learn over time to correlate trends in sensor data with activations of devices.

Abstract: In an approach for dynamically adjusting parallel reality (PR) displays, a processor configures a viewing event. A processor receives data from data collecting devices located throughout a location of the viewing event. A processor classifies a crowd of the viewing event into at least two partitions using a learning-based neural network that ingests the data. A processor selects content to be displayed to each of the at least two partitions. A processor enables a PR display to simultaneously display the content to each of the at least two partitions.

Abstract: A method, system, and computer program product for generating personalized security testing simulations is provided. The method identifies a user of a communications system. The user is associated with a user profile. The method generates a simulated attack communication based on the user, the user profile, and an attack personalization model. The simulated attack communication is transmitted to the user via the communications system. The method identifies a user response to the simulated attack communication and modifies the attack personalization model based on the user response.

Abstract: A method can include detecting an activation of a networked device. The method can further include obtaining a hazard score corresponding to a degree of hazard associated with the networked device. The method can further include determining an activation confidence score corresponding to the activation of the networked device. The method can further include determining, based at least in part on the hazard score and the activation confidence score, an adjusted activation confidence score. The method can further include determining that the adjusted activation confidence score exceeds a threshold. The method can further include initiating a deactivation of the networked device in response to the determining that the adjusted confidence score exceeds the threshold.

Abstract: A computer-implemented method and a computer program product for optimizing groupings in a breakout session in a virtual classroom. A computer retrieves profiles of students in the virtual classroom, where the profiles of the students include data of academic performances of the students. The computer retrieves a known correspondents archive which includes historic data of productivities correlated to interactions among the students. In response to initialization of the breakout session in the virtual classroom, the computer determines optimal groups that yield most productive results, based on the profiles of the students, the known correspondents archive, and requirements of group settings given by an instructor, using a machine learning model. The computer provides the instructor with the optimal groups. In another embodiment, the computer analyzes context of customized assignments for the breakout session and determines the optimal groups further based on the context to the customized assignments.

Abstract: A method, computer system, and computer program product for protecting user confidentiality. Signal transmissions in a location in which a user is present are monitored by a computer system. A set of recording devices in an active state for recording the user in the location is identified by the computer system based on patterns in the signal transmissions monitored in the location. A set of alerts notifying the user of the set of recording devices in the active state for recording the user is generated by the computer system.

Abstract: Embodiments relate to a system, program product, and method for reserving one or more meeting rooms, and, more specifically, for reserving one or more meeting rooms based on a determination of meeting confidentiality levels and determined Internet of things (IoT) privacy levels associated with the one or more meeting rooms.