enhancing trust in industrial iot - unece · building blocks for a sound marketplace in blockchain...
TRANSCRIPT
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Enhancing trust in Industrial IoTEnabled by distributed ledger technologies and enterprise connectivity
Jorge Alvarado – Head of Technology
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Industry 4.0
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State of the Union
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Cloud + Hardware + Connectivity + DLT
Evolving and converging technologies (1/4)
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1. Prevailing cloud technologiesa) Elastic computing: Limitless serversb) Cost-efficient big data: Ingestion, Processing, Storage and Visualization
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Cloud + Hardware + Connectivity + DLT
Evolving and converging technologies (2/4)
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2. Enhanced hardwarea) Cost-efficient, secure Micro Controller Units (MCU)b) Standard interfacesc) Reliable actuators, precise sensorsd) Long-lasting batteries
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Cloud + Hardware + Connectivity + DLT
Evolving and converging technologies (3/4)
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3. Improved connectivitya) Personal Area Network (PAN): Bluetooth Low Energy, 6LoWPAN, NFCb) Wide Area Network (WAN): LoraWAN, 5G
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Cloud + Hardware + Connectivity + DLT
Evolving and converging technologies (4/4)
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4. Distributed ledger technologiesa) Peer-to-peer transactionsb) Token economyc) Smart contractsd) Self-sovereign identity
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Understanding Industrial IoT
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Characteristics, challenges lifecycle and usage
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It is expected that in 2025 there will be over 70 billion connected devices
IIoT: Characteristics and ecosystem
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IoT characteristics
- Things or devices
- Connectivity
- Data
- Intelligence
- Action (incl automated action, e.g. smart contracts)
- Ecosystem (protocols, platforms, communities)
- Heterogeneity
- Dynamic changes
- Enormous scale
- Security & Privacy
IoT ecosystem components
Source: Intelligent Internet of Things . Springer International Publishing. Kindle edition.
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Challenges of adoption and complex lifecycle of smart devices
IIoT: Challenges and lifecycle
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• Scale• Heterogeneity• Privacy• Data ownership• Cybersecurity• Legal liability• Sensors• Networks• Big data• Analysis• Interoperability
Registered
Connected
OnboardedDiagnosed remotely
Updated Over-the-air
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Industries and use cases of industrial IoT
IIoT: Usage areas
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1. Manufacturing1. Predictive maintenance2. Prescriptive maintenance3. Third-party failure diagnostics
2. City Government1. Traffic2. Parking3. Public lightning4. Waste management5. Water quality & consumption
4. Retail1. Geographic location for track & trace2. Temperature controlled shipments3. Tamper proof control
4. Energy1. Smart meter metering2. Solar panel monitoring3. Grid stability4. Microgrids5. Self-consumption communities (nanogrids)6. Weather conditions
5. Work sites1. Energy efficiency2. Inventory3. Physical access control
6. Healthcare1. Patient monitoring2. Clinical trial evaluations
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Standard Industrial IoT architecture
https://www.computerweekly.com/de/meinung/IoT-Gateway-fuer-die-Cloud-Vernetzung-nutzen
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Comparison of network topologies
IoT networks:a) Starb) Treec) Mesh
Network theory:a) Centralizedb) Decentralizedc) Distributed
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Weaknesses of Industrial IoT
- This type of centralized structure has poor scalability
- Single point of failure with standard cloud services
- Limited resources to provide maintenance
- Vulnerable to data spoofing and corruption
- Resource-constrained computing devices (processing & storage)
- Lack of immutable records or trust of the data produced
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Swisscom Blockchain
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Our approach to enhance trust in Industrial IoT with DLT
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Use of distributed ledger technologies
- Trustless, faster, cheaper interactions: peer-to-peer basis
- Verifiable and auditable data and transactions: transparency & integrity
- Automated, Transparent, Shared business logic: Smart contracts
Benefits of DLT
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LoraWAN and 5G
Improved connectivity: Swisscom's Network Coverage Map
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Cloud-native, secure MCU paired with a blockchain SDK
Adoption of new powerful hardware
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Microsoft Azure Sphere is a IoT security solutionthat includes hardware, OS, and cloud components in one device and:- Is designed for security- Ensures device integrity with defense in depth- Automates OS and security updates- Runs only signed, authentic software
This technology enabled us to close the gap between blockchain and IoT, specifically the IoT device and/or edge device is now able to create blockchain-based signatures of data obtained by sensors.
No trust on intermediate software or external process is needed anymore.
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Enterprise grade solution compatible with enterprise identity & access management software.
Personal Cloud Agent interacts with multiple decentralized identitynetworks to handle the requests and transfers of identity proofs.
Safe Cloud Storage for your Identity Wallets. No risk of losing your wallet, we manage it (custodial and non-custodial approach available)
Enterprises now have a safe and convenient way to use and store their decentralized ID
Providing Decentralized ID as a Service: SSIGate
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Connect to the most popular public blockchain networks
Providing Blockchain Nodes as a Service: Dappi
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Building Blocks for a sound marketplace in Blockchain
Swisscom Blockchain Vision: The marketplace 4.0
Digital OwnershipGuaranteed Authenticity Events Tracking Verified Provenance
Digital Twin
Factory
Use Case
Business LogicDevelopment of business and use cases leveraging the Core Functional Modules adapted to specific requirements of organizations across industries
Generic yet flexible
functional modules built
on blockchain that can
be customized to
respond to concrete
needs of different
companies
Digital representation of physical assets on blockchain
Core Functional
Modules
…1
2
3
Use Case 1
•
•
Use Case 2
•
•
Use Case 3
•
•
Pharma …Luxury Goods Automotive Insurance
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Industrial IoT, Network connectivity and Distributed ledger technologies
Showcase: Swisscom IoT Day 2020
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Enterprise distributed ledger technology
Azure SphereIndustrial sensors
DLT SDK &Decentralized ID
Unique Identifier Secure enclave &True Random Generator
Broadcast/Listen transactions
Smart contract execution
Data audit &verification
Network &Blockchain Connectivity
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THANK YOU!
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