Abstract: A computer-implemented system and method for device discovery and recovery in a secure network comprises registering a plurality of devices, where the devices form the secure network at a location. Communication between the plurality of registered devices is enabled, and messages passed between the plurality of devices are collected. The method further comprises determining which one of the plurality of devices is a compromised device by using a consensus network that includes the plurality of devices of the secure network.

Abstract: A system is provided for protecting services, such as cloud services, running on one or more server computers in a server rack. The system includes one or more rack processors. The one or more rack processors may receive sensor signals from one or more sensors of the server rack, the sensor signals capturing a physical environment of the server rack in a datacenter. The one or more rack processors may determine, based on the sensor signals, a security status of the server rack. The one or more rack processors may send the security status to the services on the one or more server computers within the server rack.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying, by executing an instruction with a processor, in the return path data, first tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events, determining, by executing an instruction with a processor, a ratio between first tuning events in the return path data and second tuning events in the return path data, the first tuning events attributed to the first group of the set top boxes, the second tuning events attributed to a second group of the set top boxes classified at not associated with machine events, and in response to the ratio satisfying a threshold during a time interval, removing second tuning data associated with the time interval from the first tuning data.

Abstract: Methods and systems for routing key commands received from a remote-control device are provided. The method and/or system may include receiving, at a device, a key command from the remote-control device, generating a first message that includes the key command, sending, from the device, the first message to a keystroke router, and determining, at the keystroke router, a system network controller associated with the device. Moreover, the keystroke router may send the key command to the system network controller.

Abstract: A flexible security system has been created that allows for fluid security operations that adapt to the dynamic nature of user behavior while also allowing the security related operations themselves to be dynamic. This flexible system includes ongoing collection and/or updating of multi-perspective “security contexts” per actor and facilitating consumption of these multi-perspective security contexts for security related operations on the users. These security related operations can include policy-based security enforcement and inspection. A security platform component or security entity uses a multi-perspective security context for a user or actor. Aggregating and maintaining behavioral information into a data structure for an actor over time from different sources allows a security platform component or entity to have historical context for an actor from one or more security perspectives.

Abstract: The present invention relates to systems, methods, software applications and devices for the broadcasting of short-lived personal internet radio stations. Embodiments include software applications for live broadcasting over an internet network comprising a host mode and a recipient mode, wherein the software application may be executed on a connected mobile device to broadcast to many other recipients in a substantially synchronous manner. Embodiments provide for the live broadcasting of music and video content from a personal device to many listener or viewer devices, where content may be sourced from any number of locally stored or cloud-based content repositories.

Abstract: Systems and methods are disclosed to implement a cyberattack detection system that monitors a computer network for suspected lateral movement. In embodiments, the system employs multiple machine learning models to analyze connection data of a network to identify anomalies in the network's connection behavior. The models are updated incrementally using online machine learning methods that can be performed in constant time and memory. In embodiments, the system uses an incremental matrix factorization model and a connection count fitting model to generate anomaly scores for each connection. Connection paths are constructed for acyclic sequences of time-ordered connections observed in the stream. The paths are evaluated based on the anomalies scores of their individual connections. Paths that meet a detection criterion are reported to analysts for further review.

Abstract: A media server is hosted in a service provider's network so that media content can be stored from or rendered to a private network such as a Digital Living Network Alliance network. Media content may be stored by accessing the media server or by downloading the media content to the media server. Support of set top boxes interacting with voice-on-demand (VOD) controllers and computers interacting with IP-based video content servers are integrated through the media server. Consequently, VOD assets can be played on IP-based devices and IP-based content can be played on set top boxes. A gateway function converts IP-based content to a VOD asset, and renders the VOD asset to a set top box while mapping digital rights management information for the VOD asset. Conversely, the gateway function may convert a VOD asset to IP-based content that can be played on an IP-based device.

Abstract: Methods, systems, and apparatuses for predicting a user field-of-view change and determining transmission regions of immersive video (IV) content for an IV device are presented. A field-of-view change of a user device may be predicted. A transmission region in one or more video frames of the IV content may be determined based on the predicted change.

Abstract: A candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. A collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. An indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.

Abstract: A system stores a plurality of data models, each data model being configured to sort datasets based on a set of criteria unique to the data model. The system further identifies a plurality of content streams on a plurality of content streaming platforms. The system then executes each data model of the plurality of data models on each content stream of the plurality of content streams to generate a labeled content file of each content stream of the plurality of content streams.

Abstract: The communication system includes a communication unit that receives a conversation of a user, an accumulation unit that accumulates a conversation frame that describes a structure of a conversation generated on a basis of the conversation of the user collected via the communication unit, and a control unit that obtains a feeling parameter related to a feeling of the user who sends the conversation in units of the collected conversation. The control unit further extracts the conversation frame from the conversation on a basis of the feeling parameter, and accumulates the conversation frame in the accumulation unit.

Abstract: A system includes a computer that is programmed to receive one or more media streams, each from a respective one of a one or more media capture devices, and to receive, from a client device, for each of the one or more media streams, state data including at least one of an active and a potential state of the media stream. The computer is further programmed to disconnect from the client device, and then, upon reconnecting to the client device, to provide at least one of the media streams and the state data to the client device.

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: Methods, apparatus, systems and articles of manufacture to reduce false positive signature matches due to similar media segments in different reference media assets are disclosed. Example apparatus disclosed herein include a signature matcher to compare monitored media signatures with a library of reference media signatures, the monitored media signatures associated with monitored media, the library of reference media signatures including sequences of reference signatures associated with respective reference media assets. Disclosed example apparatus also include a match information identifier to identify a number of different matched reference media assets associated with ones of the sequences of reference media signatures that match a sequence of matched monitored media signatures.

Abstract: A data set integration system receives a first data set that includes a user identifier and a message type code. The integration system locates an object profile that is associated with the terminal identifier in a data repository. The located object profile includes a tracking identifier and a counter value. The integration system updates the counter value in the object profile in accordance with a value of the message type code. The integration system updates receives a second data set from a communications device. The second data set includes the tracking identifier. The integration system locates the counter value in the object profile that is associated with the tracking identifier, and transmits to the communications device a data payload that includes the updated counter value.

Abstract: Embodiments described include a method for providing context-aware input across network applications. The method can include establishing a plurality of sessions for a user with a plurality of network applications via an embedded browser within a client application. The method can include storing input activities of the user across the plurality of network applications to a data storage. The method can include detecting input focus on an input element of a network application of the plurality of network applications, the input element having a type of data to be inputted. The method can include identifying one or more inputs of the type of data used in another network application of the plurality of network applications stored in the data storage. The method can include providing the one or more inputs from another network application as selectable input for the input element of the network application.

Abstract: The present disclosure relates to a method, a device, and a computer program product for abnormality detection. The method provided by embodiments of the present disclosure includes: acquiring information related to a target request initiated by a client terminal to an application and at least one context request, the information at least indicating the type and initiation time of the target request and the type and initiation time of the at least one context request; converting the acquired information into a vectorized feature representation for the target request; and determining an abnormality detection result of the target request based on the vectorized feature representation and using an abnormality detection model, the abnormality detection result indicating whether the target request is an abnormal request, and the abnormality detection model characterizing a correlation between a vectorized feature representation for a request and an abnormality detection result.

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: An example apparatus includes a first query processor to obtain a first hash key, first qualifier data and first value data associated with the first hash key, the first value data including a second hash key and a third hash key; a candidate qualifier to use the first value data to prequalify the first hash key as a candidate for subsequent signature processing associated with a first site signature, the candidate qualifier to: determine prequalification of the first hash key is successful in response to a determination that the second hash key matches a second site signature preceding the first site signature in time and that the third hash key matches a third site signature following the first site signature in time; and determine the prequalification of the first hash key is unsuccessful in response to a determination that at least one of the second hash key fails to match the second site signature or the third hash key fails to match the third site signature.