Abstract: A universal cloud connector is proposed to intake client data using an integrated application programming interface (API) that is capable of processing various client data. Specifically, the integrated API includes at least two layers: (i) an authentication layer authenticates a client based on a client-level secret ID such that the client can only access data resource that is accessible to this particular client; (ii) a data segregation layer that integrates with the client's system so that users of the client (bank) can view and interact with their bank records that are pulled through the authentication layer. Thus, the integration API may act as a collection of micro-services that allow a client's system to synchronize data and workflow states with the server in real-time.

Abstract: In one embodiment, a first networking device in a network coordinates, with a second networking device in the network, capture of packet maps for a traffic flow in the network associated with a particular application. The packet maps comprise multi-dimensional histograms indexed by identified properties of packets of the traffic flow and time. The first networking device inspects packets of the traffic flow, to identify properties of packets of the traffic flow. The first networking device generates a first packet map for the traffic flow based on the properties of the packets of the traffic flow identified by the first networking device. The first networking device causes a comparison between the first packet map and a second packet map generated by the second networking device to be used as a measure of application experience for the particular application.

Abstract: The disclosed technology enables quicker initialization of a new master node for a cluster when a previous master node fails by tracking node state in the cluster prior to being designated the new master node. In a particular example, a method includes, in a first node, designated as a current master node for the cluster, managing the cluster based on states of the nodes determined by the first node. While the first node is designated the master node, the method includes each of the nodes collecting, and storing locally, the states of the nodes. In response to a failure of the first node, the method includes selecting a second node of the nodes a new master node. Upon being designated the new master node, the method includes the second node managing the cluster of nodes based on the states of the nodes that the second node collected and stored locally.

Abstract: Systems and methods for managing distributed computing resources including blockchain-based management of serverless computing and edge computing. Distributed computing resources are managed on a peer-to-peer network, and serverless functions are hosted on a distributed IT infrastructure. Developers for the serverless functions and providers of distributed IT infrastructure utilize a blockchain-based IT marketplace platform to make transactions relating to computing resource consumption.

Abstract: A computer-implemented method for adapting a deep learning model to a local environment includes collecting training data; training a common deep learning model using the collected training data; customizing the deep learning model based on characteristics specific to one of a plurality of local devices utilizing transfer learning; and deploying the customized deep learning model to the one of the plurality of local devices. The customized deep learning model may be trained across a hierarchy comprising: a central common model trained on data from all devices in the plurality of devices; a location based model trained on a first set of data from devices in the plurality of devices within a location proximity; and a device based model trained on a data from one device in the plurality of devices.

Abstract: Mechanisms for subscription and notification may include dynamically changing notification behavior based on notification target status or support access to notification history information.

Abstract: A method includes obtaining input features based on network traffic received during a time window. The method also includes generating multiple network service type predictions about the network traffic during the time window using a machine learning (ML) classification system operating on the input features. The method also includes storing the multiple network service type predictions in different time steps in a first-in first-out (FIFO) buffer and generating decisions about a presence of each of multiple service types in the network traffic using a voting algorithm. The method also includes reducing fluctuations in the generated decisions using a logic-based stabilizer module to generate a final network service type decision.

Abstract: Examples involve a control device using a social networking service to facilitate registration of a streaming media service with a media playback system. An example implementation receives (i) data indicating login credentials for a given account of a social networking service, and (ii) input data to configure streaming media services with a media playback system. Based on receiving the input data to configure the media playback system, the implementation queries the social networking service for streaming media services associated with the given account, and in response to the query, receives data indicating a first streaming media service associated with the given account. The implementation configures the media playback system to playback audio content from the first streaming media service that is associated with the given account and causes the media playback system to playback audio content from the first streaming media service.

Abstract: A method and a device for processing product manufacturing messages, and an electronic device are disclosed. The method for processing product manufacturing messages includes: monitoring a plurality of product manufacturing messages; establishing a product defect analysis task queue based on the plurality of product manufacturing messages; distributing product defect analysis tasks to product manufacturing assisting devices based on the product defect analysis task queue, wherein the product defect analysis tasks include a task of identifying product defect content based on a defect identification model; wherein the product defect content includes any one or more of: product defect type, product defect location, and product defect size.

Abstract: Identifying shared events across spiking-neural-network data streams with significant stochastic content. The data streams are first subject to cross correlation. If two data streams are completely uncorrelated, the rate of occurrence, of cross-stream spike pairs, is an approximately uniform “r_ind” across all Time Between Events (TBE's). Any shared events create a gradient, where r_ind increases to a rate “r_shr,” for any TBE's?a Time Of Discernment (TOD). A search for the actual TOD (TOD_a) can be accomplished with a conjectured TOD (TOD_c). TOD_c is tested against an exponential decay with its rate set to a conjectured r_ind (r_ind_c). When r_ind_c=actual r_ind, equal ranges (or regions) of values, of exponential decay, represent equal probabilities. Values of TOD_c and r_ind_c are generated (at respective learning rates), until a combination is found where probabilistically equal regions receive statistically equal numbers of cross-stream events. It is then known TOD_a?TOD_c.

Abstract: The disclosure relates to a first entity for a communication network, in particular a mobile communication network, configured to obtain, from a second entity and/or a third entity, information for the second entity comprising a request for analytics information and/or a request for a rule related to analytics information that can be provided by the first entity. The first entity can be further configured to provide to the second entity analytics information according to one or more rules, in particular according to the request for analytics information, and/or the requested rule. Alternatively, the first entity can be further configured to forward the obtained information to a fourth entity according to one or more rules. Moreover, the disclosure relates to a corresponding method.

Abstract: A failure information acquirer of a network service management apparatus acquires, from a network system, a VNF failure recovery permission request and makes an inquiry to a virtualized infrastructure manager about a state of corresponding hardware to determine a cause of a failure. A recovery process controller grants, when the failure is caused by software, the network system recovery permission, and requests, when the failure is caused by hardware, the virtualized infrastructure manager to cause state information on a corresponding virtual machine to indicate an error and then grants the recovery permission.

Abstract: Various embodiments include systems and methods to implement a security platform providing cyberattack detection. The security platform may, with respect to a cloud compute environment, use audit log data that is associated with a particular domain of operational activity within the cloud compute environment. Based on a domain specific graph representative of factor data and dependencies between factor data, the security platform may determine a behavioral anomaly that is associated with a cyberattack.

Abstract: Various embodiments include systems and methods to implement a security platform providing cyberattack detection. The security platform may, with respect to a cloud compute environment, use audit log data that is associated with a particular domain of operational activity within the cloud compute environment. Based on multiple baseline profiles associated with the operational activity, the security platform may use a probabilistic graph to determine a behavioral anomaly. The security platform may, based on the behavioral anomaly, identify a cyberattack.

Abstract: Some embodiments include a broker policy manager (BPM) comprising a transceiver and a processor, where the processor is configured to dynamically change a policy associated with an Internet of Things (IoT) client certificate based on an incident invitational model. In some embodiments the processor can determine that a first IoT client is a participant of an incident communications network corresponding to an incident, and transmit first instructions to a certificate-based IoT broker to change a first IoT policy associated with a first certificate of the first IoT client, to enable the first IoT client to publish or subscribe to a topic that corresponds to the incident. The first instructions can indicate a change to a second IoT policy associated with a second certificate of a second IoT client that enables the second IoT client to publish or subscribe to the topic that corresponds to the incident.

Abstract: Apparatuses, systems and methods for routing requests and responses targeting a shared resource. A queue in a communication fabric is located in a path between the requesters and a shared resource. In some embodiments, the shared resource is a shared address translation cache stored in an endpoint. The physical channel between the queue and the shared resource supports multiple virtual channels. The queue assigns at least one entry to each virtual channel of a group of virtual channels where the group includes a virtual channel for each address translation request type from a single requester of the multiple requesters. When the at least one entry for a given requester is de-allocated, the queue allocates this entry only with requests from the assigned virtual channel even if the empty entry is the only available entry of the queue.

Abstract: A system for data transmission between a client device, a server device and a plurality of automation devices, wherein the server device includes a descriptive representation of each of the plurality of automation devices, wherein the server device includes a server instance, which server instance is configured to load one of the descriptive representations based on a hostname identifying one of the plurality of automation devices, and wherein the server instance is configured to transmit data from the automation device to a client application on the client device based on the loaded descriptive representation of the automation device.

Abstract: A system and method for determining device attributes using a classifier hierarchy. The method includes: sequentially applying a plurality of sub-models of a hierarchy to a plurality of features extracted from device activity data, wherein the sequential application ends with applying a last sub-model of the plurality of sub-models, wherein each sub-model includes a plurality of classifiers, wherein each sub-model outputs a class when applied to at least a portion of the plurality of features, wherein each class is a classifier output representing a device attribute, wherein applying the plurality of sub-models further comprises iteratively determining a next sub-model to apply based on the class output by a most recently applied sub-model and the hierarchy; and determining a device attribute based on the class output by the last sub-model.

Abstract: A method and system for detecting anomalous network activity in a cloud-based compute environment. The method comprises receiving configuration data and network activity observations for a set of virtual entities in the cloud-based compute environment; creating a profile for each virtual entity in the set of virtual entities, when the virtual entity does not already have an associated profile; dynamically updating the virtual entity of a profile with the respective network activity observations of the virtual entity; and determining whether anomalies have been detected.

Abstract: Embodiments of the present disclosure provide a region-specific events account that is used as a central place to store the events shared by consumers of shared applications in that region. Use of such an account helps reduce the operational burden of a provider of the applications as they do not need to determine which accounts have shared events for each different consumer. The provider only needs to login to the events account which is in the same region as the consumer and can query all shared events from different applications that are being used in that region. Also, since the provider can designate an events account in each region, the shared events could be directly ingested into the events account without traveling to a different region.