Methods, apparatus and systems for load balancing Session Initiation Protocol session transactions among a self-organized cluster of SIP processing devices. An exemplary method embodiment includes the steps of dynamically forming a load balancing cluster of SIP processing devices from a plurality of SIP processing devices, said cluster of SIP processing devices being self-organized; dynamically building a communications network, by said cluster of SIP processing devices, for distributing session transaction load state information among the SIP processing devices in the cluster; and each of the SIP processing devices of the cluster asynchronously determining session transaction load state information on a recurring basis reflecting its current session transaction load state. In some embodiments, the SIP processing devices are session border controllers.

The disclosure is related to adaptive transcoding of video streams from a camera. A camera system includes a camera and a base station connected to each other in a first communication network, which can be a wireless network. When a user requests to view a video from the camera, the base station obtains a video stream from the camera, transcodes the video stream, based on one or more input parameters, to generate a transcoded video stream, and transmits the transcoded video stream to a user device. The base station can transcode the video stream locally, e.g., within the base station, or in a cloud network based on transcoding location factors. Further, the camera system can also determine whether to stream the video to the user directly from the base station or from the cloud network based on streaming location factors.

An Internet of Things (IoT) network includes an IoT device with data manager, data classifier, and data mapper; or includes IoT device with bloom filter, blockchain logic, content creator, and search manager; or includes IoT device with device connector, namespace discoverer, partition creator, service advertiser, and data router; or includes IoT device with IoT network topology identifier, IoT node resource identifier, neural network topology identifier, mapping optimizer, and decomposable task processor; or includes IoT device with blockchain logic, Merkle tree with hash code entries, and locator to search the Merkle tree; or includes IoT device with bloom filter topic list, subscription manager, and content locator; or includes IoT device with topic classifier to determine if topic includes encrypted content, notifier of the encrypted content, and key subscriber; or includes IoT device with an attestator to provide group membership credential and a subscriber to supply bloom filter and receive a key.

An Internet of Things (IoT) network composite object includes a device owner with name server and sub-object list, sub-objects, and a blockchain recording the sub-objects. An IoT network composite object includes a device owner with composite object type name server, and blockchain. An IoT network coalition group includes coalition group name server, coalition group member list, and blockchain. An IoT network apparatus includes device identity generator, message publisher, network applier, device describer, and packer sender. An IoT network apparatus includes a device registrar to register device to first network through a portal to second network, device joiner, token requester, and authentication request sender. An IoT network apparatus includes an identity verifier to verify the identity of an authentication request, and an authentication request response returner. An IoT network apparatus including a caller entity credential issuer, an object entity provisioner, credential presenter, and access control list policy applier.

Aspects of the disclosed subject matter are directed to facilitating peer-to-peer data exchange in a common domain. In accordance with one embodiment, a method is provided for obtaining content from one or more peers that are connected to the domain. The method includes registering a peer with a super-peer when a connection to the domain is established. Then, the connecting peer obtains data that describes various network conditions and identifies chunks of content available from other peers. In downloading content from other peers, heuristics are applied to select between available chunks that are potentially encoded at different bitrates. The heuristics account for the network conditions between peers and balance the potential need to quickly access content with the desire to obtain high quality content.

A high-performance distributed ledger and transaction computing network fabric over which large numbers of transactions (involving the transformation, conversion or transfer of information or value) are processed concurrently in a scalable, reliable, secure and efficient manner. In one embodiment, the computing network fabric or “core” is configured to support a distributed blockchain network that organizes data in a manner that allows communication, processing and storage of blocks of the chain to be performed concurrently, with little synchronization, at very high performance and low latency, even when the transactions themselves originate from distant sources. This data organization relies on segmenting a transaction space within autonomous but cooperating computing nodes that are configured as a processing mesh. Each computing node typically is functionally-equivalent to all other nodes in the core. The nodes operate on blocks independently from one another while still maintaining a consistent and logically-complete view of the blockchain as a whole.

Determining a sequence for providing a notification regarding activity recorded by a camera is described. In one aspect, a priority sequence for can be determined based on a variety of characteristics of the available devices registered with the home security system of the camera.

The disclosure relates to an enhanced data security system and method thereof. In some embodiments, the method includes receiving the transactional credential dataset from a user application. The transactional credential dataset is provided by a user to the user application. The method further includes storing the transactional credential dataset in nodes of a graphical embedding storage model. The nodes further store historical credential datasets of the user. Further, the method includes determining a correlation among the historical credential datasets using an artificial neural network (ANN) model and detecting a pattern of the transactional credential dataset based on the correlation. The ANN model is trained based on credential datasets provided by users stored in the nodes of the graphical embedding storage model.

The present disclosure provides a method for managing resource state information and a system for downloading a resource, which belongs to network communication technologies. According to the method, a target super node receives a file identification of at least one target resource file sent by a Tracker server (204); the target super node configures a download service of each of the at least one target resource file according to the file identification and a local resource storage state (205); and the target super node feeds back service configuration information of each of the at least one target resource file to the Tracker server (206).

A method includes based on neighbor relationships among radio frequency (RF) nodes of a flooding wireless network, designating some but not all of the RF nodes as repeaters. The designating step selects (RF) nodes as repeaters such that each RF node of the flooding wireless network has at least two neighboring RF nodes designated as repeaters. The method further includes configuring designated RF nodes to act as repeaters to receive and resend network packet transmissions from other RF nodes through the flooding wireless network. The method further includes configuring all RF nodes not designated as repeaters not to resend network packet transmissions from other RF nodes through the flooding wireless network.