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Distributed Ledger Technologies for Internet of Things
DLT4IoT
Internet of Things
● Devices, sensors
● Gateways
● Servers
Internet of Everything
IoT frameworks
● DeviceHive
● Amazon IoT
● IBM Watson
● Intel IoT Gateway
● Android Things
● Kaa
● thingsboard.io
● Protocols & Standards
○ MQTT, CoAP, STOMP, XMPP, Websockets
○ IPv6, 6LoWPAN, BLE, ZigBee
● Hardware
○ Arduino
○ Raspberry
○ Intel Edison
○ ESP8266
● System integration
○ AMQP, Kafka, Cassandra, SQL, HDFS
● Clouds
○ AWS, GCE, Azure, Bluemix
Blockchain IoT use cases and opportunities
● Security
● Real-time visibility of shipments
● Asset lifecycle management
● Device-to-device payments
● Smart Contracts and Oracles
IoT security with Blockchain
● Event and notification messages as blockchain transactions
● Data provenance
○ Validate device with a hash of its identity
○ Include identity hash in measurement
○ Record measurement in DLT
● Data quality
○ Maintain hashes of calibration records
● Data security
○ Integrity - maintain hashes of firmware records
○ Availability - DLT are robust
○ Non-repudiation - DLT are immutable
Real-time visibility of shipments
● Blockchain provides each participant end-to-end visibility based on their level of
permission
● Each participant in a supply chain ecosystem can view the progress of goods through the
supply chain, status of customs documents, or view bills of lading and other data.
● Real time exchange of original supply chain events and documents.
● No one party can modify, delete or even append any record without the consensus from
others on the network.
● Reduce fraud and errors, reduce the time products spend in the transit and shipping
process, improve inventory management and ultimately reduce waste and cost.
Asset lifecycle management
● Asset digitalisation
● Parts history and provenance
● Maintenance and repair history
● Damage events
● Transfer of ownership
Device-2-Device communications
● Distributed Internet of autonomous devices
● Identity management
● Micropayments
● Offline functionality
Smart Contracts and Oracles
● Telematic Insurance. Data from IoT devices and sensors triggers
insurance cases
● Fraud prevention. Similar to the shipment case - sensor data helps
finding fraud patterns.
IoT Blockchain challenges
● Scalability
○ Bitcoin SPW, Ethereum Light Client Protocol
○ Permissioned blockchains
○ IOTA Tangle
● Processing power and time
○ Consensus algorithms
○ Special hardware
○ Semi-decentralized architectures
○ Permissioned blockchains
● Storage
○ No central server
○ DHT (Kademlia, Chord)
○ Storage nodes
● Offline functioning
○ IOTA Tangle
DeviceHive
● Open source and device agnostic
● Supported by DataArt IoT practice
● Analytics, Machine Learning,
Reporting
● Scalability in Cloud
● IoT toolkit for Devices and
Gateways

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Dmitri Reshetov. Distributed Ledger Technologies for Internet of Things #spblockchain

  • 1. Distributed Ledger Technologies for Internet of Things DLT4IoT
  • 2. Internet of Things ● Devices, sensors ● Gateways ● Servers
  • 4. IoT frameworks ● DeviceHive ● Amazon IoT ● IBM Watson ● Intel IoT Gateway ● Android Things ● Kaa ● thingsboard.io ● Protocols & Standards ○ MQTT, CoAP, STOMP, XMPP, Websockets ○ IPv6, 6LoWPAN, BLE, ZigBee ● Hardware ○ Arduino ○ Raspberry ○ Intel Edison ○ ESP8266 ● System integration ○ AMQP, Kafka, Cassandra, SQL, HDFS ● Clouds ○ AWS, GCE, Azure, Bluemix
  • 5. Blockchain IoT use cases and opportunities ● Security ● Real-time visibility of shipments ● Asset lifecycle management ● Device-to-device payments ● Smart Contracts and Oracles
  • 6. IoT security with Blockchain ● Event and notification messages as blockchain transactions ● Data provenance ○ Validate device with a hash of its identity ○ Include identity hash in measurement ○ Record measurement in DLT ● Data quality ○ Maintain hashes of calibration records ● Data security ○ Integrity - maintain hashes of firmware records ○ Availability - DLT are robust ○ Non-repudiation - DLT are immutable
  • 7. Real-time visibility of shipments ● Blockchain provides each participant end-to-end visibility based on their level of permission ● Each participant in a supply chain ecosystem can view the progress of goods through the supply chain, status of customs documents, or view bills of lading and other data. ● Real time exchange of original supply chain events and documents. ● No one party can modify, delete or even append any record without the consensus from others on the network. ● Reduce fraud and errors, reduce the time products spend in the transit and shipping process, improve inventory management and ultimately reduce waste and cost.
  • 8. Asset lifecycle management ● Asset digitalisation ● Parts history and provenance ● Maintenance and repair history ● Damage events ● Transfer of ownership
  • 9. Device-2-Device communications ● Distributed Internet of autonomous devices ● Identity management ● Micropayments ● Offline functionality
  • 10. Smart Contracts and Oracles ● Telematic Insurance. Data from IoT devices and sensors triggers insurance cases ● Fraud prevention. Similar to the shipment case - sensor data helps finding fraud patterns.
  • 11. IoT Blockchain challenges ● Scalability ○ Bitcoin SPW, Ethereum Light Client Protocol ○ Permissioned blockchains ○ IOTA Tangle ● Processing power and time ○ Consensus algorithms ○ Special hardware ○ Semi-decentralized architectures ○ Permissioned blockchains ● Storage ○ No central server ○ DHT (Kademlia, Chord) ○ Storage nodes ● Offline functioning ○ IOTA Tangle
  • 12. DeviceHive ● Open source and device agnostic ● Supported by DataArt IoT practice ● Analytics, Machine Learning, Reporting ● Scalability in Cloud ● IoT toolkit for Devices and Gateways