Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize artificial intelligence approaches for determining health indicators for the identity management state of an enterprise. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize one or more components to generate signals associated with the identity management state of an enterprise based on a network identity graph and evaluate feature spaces of these input signals from these components based on a global objective function or the like.

Abstract: Embodiments are directed toward a non-transitory processor-readable medium for providing a zero-day attack prevention cybersecurity system, including an agent and an orchestrator. The agent is configured to be installed at an endpoint within a network to be evaluated. The endpoint has a cybersecurity solution to be tested. The orchestrator is enables standardized tactics, techniques, and procedures (“TTPs”) and non-standard TTPs to be sent across the network to the endpoint. The agent is configured to limit network communication outgoing from the endpoint to predefined or selected communications while the agent is installed at the endpoint. Accordingly, the agent and the orchestrator cooperatively enable testing the cybersecurity solution of the endpoint with respect to both the standardized TTPs and the non-standard TTPs without exposing other endpoints in communication with the network to security risks posed by the standardized TTPs and the non-standard TTPs sent to the endpoint.

Abstract: The present invention discloses a system and method for assessing the cyber competence of a user by analyzing human biometrics using a neural network model. According to an embodiment, the system collects human biometrics data, including eye movement data from biometric sensing device of a user, analyses the human biometrics data using an adaptive neural network model that performs rational inference to learn the correlation between the human biometric and mental disorder and provide an assessment of a cyber competence for the user based on identified mental disorder. The system may identify definitive cyber risk and assign a cyber competence score for the user using a machine learning model or using a mental disorder-cyber risk correlation table. The system may take preventive actions to prevent cyber-attacks based on the cyber competence score.

Abstract: A system and method for content aware monitoring of an output of a media channel by a media system is provided herein. In at least one embodiment, the method comprises: receiving a media assertion schedule comprising a schedule of assertion checks which allow validating that the output of the media channel, by the media system, is synchronized with an expected media channel output; receiving, from a signature generating module, at least one observed signature file; determining that the timestamp data, in each of the at least one received observed signature file, aligns with at least one timecode included in an assertion check in the media assertion schedule; identifying an assertion condition included in the assertion check; and validating the assertion condition using the observed media frame signatures included in each of the at least one received observed signature file.

Abstract: A computer-implemented method of identifying whether a target video comprises an abridged version of a reference video includes evaluating condition a) that the target video does not comprise all shots of the reference video; condition b) that the target video includes groups of consecutive shots also included in the reference video; and condition c) that all shots which are present in both the target video and the reference video are in the same order. The method further includes identifying whether the target video comprises an abridged version of the reference video; and outputting a result of the identifying. The target video is identified as comprising an abridged version of the reference video on condition that conditions a), b) and c) are met. Also provided is a data processing apparatus for performing the method; and a computer program and computer readable storage medium comprising instructions to perform the method.

Abstract: Classification management is disclosed, including: obtaining, via a user interface, mappings of stored elements to a plurality of classifications, wherein the mappings include prescribed security attributes corresponding to the plurality of classifications; obtaining, via the user interface, a policy that includes identifying information associated with a set of actors and a specified at least portion of the plurality of classifications; comparing a set of configured security attributes associated with the set of actors to at least a portion of the prescribed security attributes corresponding to the specified at least portion of the plurality of classifications; and outputting information pertaining to a set of discrepancies determined based at least in part on the comparison.

Abstract: Aspects described herein may provide systems, methods, and device for facilitating language learning using videos. Subtitles may be displayed in a first, target language or a second, native language during display of the video. On a pause event, both the target language subtitle and the native language subtitle may be displayed simultaneously to facilitate understanding. While paused, a user may select an option to be provided with additional contextual information indicating usage and context associated with one or more words of the target language subtitle. The user may navigate through previous and next subtitles with additional contextual information while the video is paused. Other aspects may allow users to create auto-continuous video loops of definable duration, and may allow users to generate video segments by searching an entire database of subtitle text, and may allow users create, save, share, and search video loops.

Abstract: The present disclosure relates to the field of network live streaming, and provides a live streaming interface interaction method and apparatus, an electronic device, and a computer-readable medium. The method comprises: displaying, on a live streaming interface, a first function control and a second function control used for indicating the same function state; receiving an interactive operation acting on the live streaming interface, and switching the function state of the first function control and the second function control when it is determined that the interactive operation meets a preset condition; and respectively displaying corresponding guide animations on display positions corresponding to the first function control and the second function control, so as to prompt a user to perform the next interactive operation.

Abstract: A post-processing of video content in order to provide a capability to insert ad content, having a method to produce a modified video content from an original video content. The method comprising: analyzing the original video content to detect at least one marker, said marker comprising a marker surface delimited by a marker identification; loading profile data of a target user; determining, based at least on the profile data a replacement content; adjusting the replacement content into the marker surface; and replacing into the original video content the marker surface by the adjusted replacement content to produce the modified video content.

Abstract: This disclosure enables various computing technologies for sharing various files securely and selectively between various predefined user groups based on various predefined workflows. For each of the predefined workflows, the files are shared based on a data structure storing various document identifiers and various metadata tags, with the document identifiers mapping onto the metadata tags.

Abstract: A method for configuring mobile online services for use with a transportation vehicle including providing a configuration system which assigns data contents to a data release class, providing a selection possibility for a user by the configuration system by which selection possibility the user allows one or more mobile online services to use the data contents of a data release class, selecting a data release class for the one or more mobile online services, and releasing the data contents of the selected data release class for use by the mobile online service by the configuration system. The method provides for enabling transparent and conveniently usable data protection configuration for the use of mobile online services together with a transportation vehicle which leads to increased trust of customers and potential buyers in the transportation vehicle manufacturer and in the offered mobile online services.

Abstract: A method for remotely updating the behavior and state of a medical device or the firmware itself of a medical device, not requiring physical access to the device, that occurs through an encrypted and authenticated communication channel. The behavior and state of the device may be modified from a healthcare provider interface through a transmission method. The firmware of the medical device may be modified by the use of over the air device firmware updates, created from a designated secure machine called a build machine described herein. Both actions are transmitted to a server and then forwarded to a companion device and are particularly designed so that the server never stores sensitive cryptographic material in the event of server compromise. The companion device forwards the update to the medical device, which decrypts and validates the update or command before performing the change.

Abstract: Systems, methods, and media are disclosed for propagating video streams based on geographical proximity and required transmission latency. A first video stream is received from a first presenting client device at a first origin video server connected to at least one other origin video server forming a mesh network. The first video stream is relayed to at least a second origin video server from the first presenting client device. The first video stream is transmitted from the second origin video server to an edge video server. The first video stream is received from the second origin video server by one or more edge video servers. The first video stream is broadcast to a plurality of participant client devices. A second video stream is received from a second presenting client device. The second video stream is transmitted via the second origin video server to the plurality of participant client devices.

Abstract: A video distribution system, method, and a storage medium, the system including: at least one database storing a plurality of videos; a computing device communicatively connected with the at least one database and configured to: classify the plurality of videos into a plurality of categories based on attributes associated with the plurality of videos; determine a plurality of cover images; send the plurality of cover images to a user equipment, so that the plurality of cover images are at least partially superimposedly displayed on a first video being played; select a first image from the plurality of cover images in response to a first user input; automatically select a second video from a first category corresponding to the first image; acquire the second video from the at least one database; and send at least a part of the second video to the user equipment to play the second video.

Abstract: An apparatus for controlling access to a data memory is provided. The apparatus includes an input interface configured to receive a request from an external processor circuit for accessing a memory area of the data memory. The apparatus additionally includes a control circuit configured to determine whether the memory area is to be accessed exclusively from within a trusted execution environment. Further, if it is determined that the memory area is to be accessed exclusively from within the trusted execution environment, the control circuit is configured to control access to the memory area of the data memory based on security information indicating whether the external processor circuit is operating in a secure mode related to the trusted execution environment.

Abstract: Methods and apparatus for generating personalized menus and a media content interface are provided. In one example, different device specific media asset lists are generated at different user devices for the same user based on the media consumption history at each device. In another example, media asset listings are displayed for multicast and on-demand media assets determined to be of interest to the user. An on-demand media asset is listed at a time when no other multicast media assets are listed. In another example, media asset listings for successive episodes of a media series are displayed in sequential order in response to an input to view successive episodes of a media series. In another example, a text search for media content is performed in which the search priority of media provider results is decreased relative to the search priority of media asset results as additional characters are added to a search string.

Abstract: Technologies for dynamically sharing remote resources include a computing node that sends a resource request for remote resources to a remote computing node in response to a determination that additional resources are required by the computing node. The computing node configures a mapping of a local address space of the computing node to the remote resources of the remote computing node in response to sending the resource request. In response to generating an access to the local address, the computing node identifies the remote computing node based on the local address with the mapping of the local address space to the remote resources of the remote computing node and performs a resource access operation with the remote computing node over a network fabric. The remote computing node may be identified with system address decoders of a caching agent and a host fabric interface. Other embodiments are described and claimed.

Abstract: Computer systems and methods are provided for determining authenticity of a document. A computer system receives first image data from a remote third party. The first image data includes a first image of a document. The computer system generates an image hash based on at least a portion of the received image data. The computer system compares the generated image hash with a stored image hash to determine whether the generated image hash meets image matching criteria. The stored image hash is associated with a first predetermined authentication decision. In accordance with a determination that the generated image hash meets the image matching criteria, the computer system transmits the first predetermined authentication decision to the remote third party.

Abstract: Techniques, methods and/or apparatuses are disclosed that enable prediction of cyber risks of assets of networks. Through the disclosed techniques, a cyber risk prediction model, which may be a form of a machine learning model, may be trained to predict cyber risks. The cyber risk model may be provided to a cyber risk predictor two predict cyber risks of an asset, without the need to scan the asset at a very deep scan level.

Abstract: Techniques are disclosed relating to training a machine learning model to handle adversarial attacks. In some embodiments, a computer system perturbs, using a set of adversarial attack methods, a set of training examples used to train a machine learning model. In some embodiments, the computer system identifies, from among the perturbed set of training examples, a set of sparse perturbed training examples that are usable to train machine learning models to identify adversarial attacks, where the set of sparse perturbed training examples includes examples whose perturbations are below a perturbation threshold and whose classifications satisfy a classification difference threshold. In some embodiments, the computer system retrains, using the set of sparse perturbed training examples, the machine learning model. The disclosed techniques may advantageously enable a machine learning model to correctly classify data associated with adversarial attacks.