Intel Corporation

Michael J Nolan

Mark Y Kelly

Keith Nolan

John Brady

Ned M Smith

Davide Carboni

Niall Cahill

Cliodhna Ni Scanaill

Keith A Ellis

Wael Guibene

Gregory Burns

Pat Cheevers

Glen J Anderson

Rajesh Poornachandran

Igor G Muttik

Zheng Zhang

Thiago Jose Macieira

Marcin Spoczynski

David Coates

Eugene Ryan

Richard Davies

Michael J McGrath

Charlie Sheridan

Jakub Wenus

Robert W Adams

Shao-Wen Yang

Yen-kuang Chen

William C Deleeuw

Maarten Koning

Giovani Estrada

Ravikiran Chukka

Simon N Peffers

Ignacio J Alvarez Martinez

Mo Haghighi

Jurijs Kacs

Toby M Kohlenberg

Fearghal O'Hare

James A O'Neill

Peter J Barry

Jessica C McCarthy

Hugh Martin Carr

Brian McCarson

Damian Kelly

Radhika Loomba

Gabriel Mullarkey

Dáire Healy

Stiofáin Fordham

Methods and systems are provided for securing distributed shares of an electronic wallet. An example method includes provisioning a plurality of devices each hosting an e-wallet share with enhanced privacy identification (EPID) private keys for the e-wallet share. A signature is posted for the e-wallet share to a blockchain. A determination is made as to whether the e-wallet share is compromised, and, if so, posting a revocation list comprising the signature for the e-wallet share to a blockchain.

Securing distributed electronic wallet shares

The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Internet of things

A trusted communications environment includes a primary participant with a group creator and a distributed ledger, and a secondary participant with communication credentials. An Internet of Things (IoT) network includes a trusted execution environment with a chain history for a blockchain, a root-of-trust for chaining, and a root-of-trust for archives. An IoT network includes an IoT device with a communication system, an onboarding tool, a device discoverer, a trust builder, a shared domain creator, and a shared resource directory. An IoT network includes an IoT device with a communication system, a policy decision engine, a policy repository, a policy enforcement engine, and a peer monitor. An IoT network includes an IoT device with a host environment and a trusted reliability engine to apply a failover action if the host environment fails. An IoT network includes an IoT server including secure booter/measurer, trust anchor, authenticator, key manager, and key generator.

Blockchains for securing IoT devices

An apparatus is disclosed to compress packets, the apparatus comprising; a data analyzer to identify a new destination address and a protocol identifier of an input packet corresponding to a new destination node and a communication system between the new destination node and a source node; a compression engine to utilize a plurality of compression functions based on the new destination address and the protocol identifier and reduce a size of the input packet; a compression analyzer to identify a reduced packet and a compression function identifier corresponding to the reduced packet, the compression function identifier associated with one of the compression functions; and a source modifier to construct a packet to include the compression function identifier by modifying unregistered values of a protocol identifier by a difference associated with the compression function identifier, the packet to inform the new destination node of a compression function.

Methods and apparatus to compress packets in a computing environment

An Internet of Things (IoT) network includes an orchestrator to issue service management requests, a service coordinator to identify components to participate in the service, and a component to perform a network service element. An IoT network includes an IoT device with service enumerator, contract enumerator, and join contract function. An IoT network apparatus includes permissions guide drafter for discovered peers, and permissions guide action executor. An IoT network apparatus includes floating service permissions guide drafter for discovered hosts, host hardware selector, floating service permissions guide executor, and service wallet value transferor. An IoT network apparatus includes permissions guide drafter for first and second discovered peers, parameter weight calculator, permissions guide term generator, and permissions guide action executor. An IoT network includes an IoT device with resource hardware component identifier, processor to process a received indication of an external module hardware requirement, an external module comparer, and deactivation signal transmitter.

Service provision to IoT devices

Methods, apparatus, systems and articles of manufacture to perform remote monitoring are disclosed. Some example methods include adjusting an image capture rate at which an image sensor captures images based on a difference image containing differences between a first image of a first set of objects and a second image of a second set of objects. Example methods also include reducing a file size of the difference image using an edge detection technique and prioritizing one or more of a set of frames based on an amount of information contained in the frames. The frames are subdivisions of the image. In further example methods, the first image is taken at a first time and the second image is taken at a second, later time, and the method includes subtracting the first image from the second image to generate the difference image.

Methods and apparatus to perform remote monitoring

In some examples, an apparatus uses a blockchain to agree on a time in an information exchange network. A first node includes a processor communicatively coupled to a storage device including instructions. When executed by the processor, the instructions cause the processor to verify a time estimate from each of one or more other node, to determine a time match of a time estimate of the first node with the time estimates from the one or more other node, and if the time match is determined, to commit to the blockchain a transaction that includes a time stamp.

Protection of information in an information exchange

Systems and methods for are provided for offloading computing tasks from constrained devices. An example apparatus includes an offload computing protocol (OCP) enabled device. The OCP enabled device includes OCP extensions to the operating system to enable the offloading of computing tasks. A proximity locator may use a radio transceiver to locate an OCP device that can accept a computing task. The OCP enabled device may include an OCP bundle comprising code and data, wherein the OCP bundle is to be sent to the OCP device.

Offload computing protocol

Methods, apparatus, and articles of manufacture for decentralized data storage and processing for IoT devices are disclosed. An example apparatus includes memory; and a processor to cause storage of a contract in an off-chain datastore; generate a hash value of the contract; cause storage of the hash value on a blockchain to be accessible to multiple nodes in an IoT network; and cause storage of a transaction on the blockchain, the transaction corresponding to an objective of the contract based on data sensed by an IoT device in the IoT network.

Decentralized data storage and processing for IoT devices

A method for securing the communications between a publisher and a subscriber in an Internet of things networks. An example method includes receiving a challenge vector from a subscriber and determining a response vector using a physically unclonable function (PUF) for each challenge value in the challenge vector to generate a response value. The response vector it is sent to the subscriber.

Securing communications

Data is received describing a local model of a first device generated by the first device based on sensor readings at the first device and a global model is updated that is hosted remote from the first device based on the local model and modeling devices in a plurality of different asset taxonomies. A particular operating state affecting one or more of a set of devices deployed in a particular machine-to-machine network is detected and the particular machine-to-machine network is automatically reconfigured based on the global model.

Distributed framework for resilient machine-to-machine system management

A method and apparatus are disclosed for performing authenticated firmware updates of a fog or IoT device, which happens concurrent with a field update of a component coupled to the device, such as a battery.

Firmware upgrade method and apparatus

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.

Object identification for groups of IoT devices

In various embodiments, an IoT device may provide selective reporting of collected data measurements. The IoT device may report the data via a network connection to an aggregator device. The IoT device may detect when the network connection has been interrupted, during which messages containing measurements may be cached. Later, when the network connection has been restored, the IoT device may 'replay' the cached messages. The IoT device may selectively report cached messages based on an entropy analysis which may detect which measurements exhibit a higher entropy. The entropy analysis may determine which measurements show a higher rate of change or which have a value outside of a set of thresholds. The IoT device may select measurements based on a history of measurements obtained by the IoT device. Other embodiments may be described and/or claimed.

Selective measurement reporting from internet of things devices

Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed. An example apparatus includes a transducer to mounted on a tracked object, the transducer to generate data samples corresponding to the tracked object; a discriminator to: generate a first classification using a first model based on a first calculated feature of the first data samples from the transducer, the first model corresponding to calculated features determined from second data samples, the second data samples obtained prior to the first data samples; generate an offset based on a difference between a first model feature the first model and a second model feature of a second model, the second model being different than the first model; and adjust the first calculated feature using the offset to generate an adjusted feature; a pattern matching engine to generate a second classification using vectors corresponding to the second model based on the adjusted feature; and a counter to, when the first classification matches the second classification, increment a count.

Methods and apparatus to improve accuracy of edge and/or a fog-based classification

Growing community of inventors

Maynooth, Ireland

Michael J Nolan