Abstract: Techniques relating to a geographic lighting controller. A controller determines a target lighting pattern based on an instruction for a smart lighting effect. The controller retrieves from a database, based on the target geographic location, information identifying a first plurality of smart lights to activate as part of the smart lighting effect. The controller determines a plurality of network addresses for the first plurality of smart lights, based on the retrieved information, generates a lighting effect command relating to the first plurality of smart lights, and transmits the lighting effect command to create the smart lighting effect.

Abstract: Biometric masking includes testing video data and/or audio data from the video conference for biometric markers indicative of emotion or stress levels. If at least one of the biometric markers is detected with the testing, the video data and/or the audio data is edited to obfuscate the at least one of the biometric markers so that the video data and the audio data is transmitted to participants of the video conference with the at least one of the biometric markers obfuscated.

Abstract: In one embodiment, an apparatus comprising at least one memory, and processing circuitry, the processing circuitry adapted to obtain combined data, the combined data including policy data, or a pointer to the policy data, the policy data relating to general access for an Internet of Things (IoT) device, and update metadata, or a pointer to the update metadata, the update metadata relating to at least one update that is relevant to the IoT device in accordance with at least one criterion, and cause access of the IoT device to the at least one update to be in accordance with an update specific policy that is based on the combined data.

Abstract: Techniques relating to a geographic lighting controller. A controller determines a target lighting pattern based on an instruction for a smart lighting effect. The controller retrieves from a database, based on the target geographic location, information identifying a first plurality of smart lights to activate as part of the smart lighting effect. The controller determines a plurality of network addresses for the first plurality of smart lights, based on the retrieved information, generates a lighting effect command relating to the first plurality of smart lights, and transmits the lighting effect command to create the smart lighting effect.

Abstract: In one embodiment, a device including a processor, and a memory to store data used by the processor, wherein the processor is operative to run a manufacturer usage description (MUD) controller operative to obtain a MUD profile of an Internet of Things (IoT) device from a MUD server, the MUD profile of the IoT device including: access rights of the IoT device, and any one or more of the following a default device username and/or a default device password of the IoT device, a recommended/required device password complexity of the IoT device, at least one service that should be enabled/disabled on the IoT device, and/or allowed security protocols and/or ciphers for communication to and/or from the IoT device, enforce security of the IoT device according to the MUD profile of the IoT device. Related apparatus and methods are also described.

Abstract: In one embodiment, a classification device in a computer network analyzes data from a given device in the computer network, and classifies the given device as a particular type of device based on the data. The classification device may then determine whether a manufacturer usage description (MUD) policy exists for the particular type of device. In response to there being no existing MUD policy for the particular type of device, the classification device may then determine patterns of the analyzed data, classify the patterns into context-based policies, and generate a derived MUD policy for the particular type of device based on the context-based policies. The classification device may then apply one of either the existing or derived MUD policy for the given device within the computer network.

Abstract: Embodiments herein receive a request to reserve a fog computing resource for an end device, where the request includes a specified future time at which the fog computing resource will be used by the end device. It is determined that sufficient fog computing resources are available at the specified future time on a first fog node of a plurality of fog nodes. The fog computing resource of the first fog node is reserved for the specified future time, and an address corresponding to the first fog node is transmitted.

Abstract: In one embodiment a method including obtaining metrics regarding a WiFi network and a RAN having overlapping coverage ranges, based at least partly on the metrics, allocating a first adjusted spectrum allocation to a first network, and a second adjusted spectrum allocation to a second network, the first adjusted spectrum allocation decreased from a first current spectrum allocation, and the second adjusted spectrum allocation increased from a second current spectrum allocation, and causing enforcement of the first adjusted spectrum allocation and the second adjusted spectrum allocation, wherein the obtaining, allocating and causing are performed a plurality of times, and wherein in at least one of the plurality of times the first network is the WiFi network and the second network is the RAN, and in at least one other of the plurality of times the first network is the RAN and the second network is the WiFi network.

Abstract: Meta behavioral analytics techniques include, at one or more network devices that are operatively coupled to a plurality of behavioral analytics systems associated with a network or system, monitoring data outputs of the plurality of behavioral analytics systems that are representative of activity in the network or system. The one or more network devices correlate the data outputs from two or more of the plurality of behavioral analytics systems that are dedicated to analyzing different subject matter domains. Additionally, based on the correlating, the one or more network devices detect a previously unidentified condition in (a) the network or system; or (b) one of the plurality of behavioral analytics systems.

Abstract: Automatic, adaptive stimulus generation includes receiving, at a network device that is associated with a network or system, analytics data that provides an indication of how the network or system is responding to a set of test stimuli introduced into the network or system to facilitate an analysis operation. The network device analyzes the analytics data based on an intended objective for the analysis operation and generates control settings based on the analyzing. The control settings control creation of a subsequent stimulus to be introduced into the network or system during subsequent execution of the analysis operation.

Abstract: In one embodiment a method including obtaining metrics regarding a WiFi network and a RAN having overlapping coverage ranges, based at least partly on the metrics, allocating a first adjusted spectrum allocation to a first network, and a second adjusted spectrum allocation to a second network, the first adjusted spectrum allocation decreased from a first current spectrum allocation, and the second adjusted spectrum allocation increased from a second current spectrum allocation, and causing enforcement of the first adjusted spectrum allocation and the second adjusted spectrum allocation, wherein the obtaining, allocating and causing are performed a plurality of times, and wherein in at least one of the plurality of times the first network is the WiFi network and the second network is the RAN, and in at least one other of the plurality of times the first network is the RAN and the second network is the WiFi network.

Abstract: A method includes obtaining performance characterization values from endpoints managed by a first fog node at a first hierarchical level in a hierarchy of fog nodes. The method includes changing a first operating characteristic of the wireless network based on the performance characterization values. The first operating characteristic affects the operation of one or more of the endpoints. The method includes transmitting a portion of the performance characterization values to a second fog node at a second hierarchical level in the hierarchy of fog nodes. The method includes changing a second operating characteristic of the wireless network based on an instruction from the second fog node. The second operating characteristic affects the operation of the first fog node and/or other fog nodes at the first hierarchical level. Changing one or more of the first operating characteristic and the second operating characteristic satisfies an operating threshold for the wireless network.

Abstract: In one embodiment, a server determines a particular computer network outside of a lab environment to recreate, and also determines, for the particular computer network, hardware components and their interconnectivity, as well as installed software components and their configuration. The server then controls interconnection of lab hardware components within the lab environment according to the interconnectivity of the hardware components of the particular computer network. The server also installs and configures lab software components on the lab hardware components according to the configuration of the particular computer network. Accordingly, the server operates the installed lab software components on the interconnected lab hardware components within the lab environment to recreate operation of the particular computer network within the lab environment, and provides information about the recreated operation of the particular computer network.

Abstract: In one embodiment, a supervisory device in a network maintains a plurality of node profiles for nodes in the network. The supervisory device receives, from a fog computing device in the network, node data associated with a particular node in the network. The supervisory device determines a node profile for the particular node based on the received node data and the maintained plurality of node profiles. The supervisory device causes installation of a fog computing application to the fog computing device based on the determined node profile for the particular node. The fog computing application is configured to process the node data associated with the particular node.

Abstract: A computer implemented method, computer program product, and system, relating to a geographic lighting controller. A controller receives an instruction for a smart lighting effect, the instruction including a target geographic location. The controller retrieves from a database, based on the target geographic location, information identifying a first plurality of smart lights to activate as part of the smart lighting effect. The controller determines a plurality of network addresses and a plurality of orientations for the first plurality of smart lights, based on the retrieved information, generates a lighting effect command relating to the first plurality of smart lights, and transmits the lighting effect command to create the smart lighting effect.

Abstract: In one embodiment, a first wireless unmanned aerial vehicle (UAV)-locating signal is transmitted by a wireless network access point in a network based on a first UAV-locating mode selected from a plurality of UAV-locating modes. The wireless network access point receives a wireless signal in response to the first transmitted UAV-locating signal, the wireless signal indicative of a location of an airborne UAV, and causes the determination of the location of the airborne UAV based on the received wireless signal. The wireless network access point transmits a second wireless UAV-locating signal based on a second UAV-locating mode selected from the plurality of UAV-locating modes. The selected UAV-locating modes control an emission pattern of an antenna of the wireless network access point.

Abstract: In one embodiment, a method comprises: determining application processing capabilities in one or more network devices, in a data network, for execution of at least a portion of a prescribed application on identifiable data packets from a requesting network device and destined for a computing device; and sending instructions to the one or more network devices, the instructions enabling the one or more network devices to execute at least the portion of the prescribed application, on behalf of the computing device, in response to detecting receipt of the identifiable data packets.

Abstract: In one implementation, a method for implementing gain control enhancement for modulated communications includes establishing a communication session between a first endpoint and a second endpoint. The communication session involves forwarding a call signal using an initial gain level until a state transition is detected in the communication session at a digital signal processor. The detection may occur in a transmitting gateway associated with the first endpoint or a receiving gateway associated with the second endpoint. The state transition indicates modulated communications, which may include fax, modem, or text telephony. For example, communication session may be fax over IP (FoIP). The call signal is forwarded using an adjusted gain level based on the state transition. The adjusted gain level may be selected to avoid clipping in the call signal.

Abstract: An example method is provided and includes identifying a change in header information within a packet of a communication flow. The change in header information reflects a predetermined type of header change that signifies a degradation condition for the communication flow. The method also includes changing a header field within an outgoing frame to initiate a trace through a network path. Diagnostic data associated with the communication flow can be collected. In more particular embodiments, the changing of the header field includes changing an Ethernet header field for a layer two frame, or changing an Internet Protocol (IP) header field for a layer three frame. Changing of the header field can also include changing a field within an outgoing layer three header to identify an IP socket associated with the communication flow. The change to the header field can be propagated by network elements along the network path.

Abstract: A method, apparatus, and logic (encoded within a computer-readable tangible storage media) are provided for detecting, at an intermediate device, a presence of a delay for a fax communication between a source device and a destination device in a network. The delay for the fax communication is sufficient to produce a failure of a corresponding fax operation. The intermediate device includes a buffer to receive packets and is disposed in the network between the source and destination devices. A first time value of the buffer is adjusted at the intermediate device in response to detection of the delay to modify the delay to be within a range enabling the corresponding fax operation to be performed.