Security Challenges in Industrial Data Platforms Challenges in Industrial Data Platforms ... Data...
Transcript of Security Challenges in Industrial Data Platforms Challenges in Industrial Data Platforms ... Data...
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1 February 2017
Security Challenges in Industrial Data Platforms
Hubert Tardieu
CEO Advisor and Co-Chair Scientific Community
European Stakeholder Forum
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Digital Shockwaves IN BUSINESS MODELS
Data and Service Driven
Economy
Transient Business Moments
Multi-sided Business Platforms
Changes in value
perception
Redefined Supply Chains
Autonomous Processes
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Value creation THROUGH DATA-DRIVEN SMART SERVICES
OUTCOME-CENTRIC VALUE CREATION
ATOMIZED PROCESS COMPONENTS
ADAPTIVE SERVICES © Atos
Consumer Experience Data raw data
Production Data
Usage / Context Data B2B
INTERACTIONS
interpret
Orchestrated Ecosystem Platforms
refine
Market and Process Insight
monetize
Digital Business Models
Privacy & Security
Use my Data
usable data
usable data
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Multi-sided Markets THE BASIS OF INDUSTRIAL DATA PLATFORMS
Multi-sided marketplaces establish symbiotic relationships between parties who can glean value from sharing platforms
Platform
SIDE
1 Same-side
network effects
Multi-homing
Cross-side
network effect
Same-side network effects
Pricing
Regulation Mutuality
Differentiation
Scalability
Economies of scale
Network effects
SIDE
2
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The Company Relationships In the Customer and Partner Eco-System
Customer A
Partner X
Partner Y
Partner Z
Customer B
COMPANY
Industrial data platforms can be defined as virtual environments facilitating the exchange and connection of data among different companies and organisations through a shared reference architecture, common governance rules and within a secure business ecosystem
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New sources of revenue ENABLED BY DIGITAL BLENDED BUSINESS MODELS
Industrial Data Platforms
CHASM
PIPELINE BUSINESS PLATFORM BUSINESS
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Data Monetization for B2B IN THE COMPANY ECOSYSTEM
Industry 4.0 Platform Objectives
• Shorter time to market
• Increase Flexibility
• Boost Efficiency
Industrial …… Data Platform
Customer A
Partner X
Partner Y
Partner Z
Customer B
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▶ MultiHoming Industrial Data Space incl Semantics and Open API for IOT
▶ Security, Data Protection& Privacy Data Localization, Homomorphic Encryption
CISP code of conduct
▶ Distributed Ledger for Trustless Transactions Blockchains as community ledger
▶ Industrial Data platform contracts Get inspired by Outsourcing Contracts
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Some of the Remaining Challenges
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Industrial
…..Data
Platform
Multi Homing the solutions:
.....
.....
Industrial
…..Data
Platform ..... Industrial
…...Data
Platform
Customer
A
Partner
X
Partner
Y
Partner
Z
Customer
B Multi Homing
• Industrial Data Space
• Open API à la PSD2
• Homomorphic
Encryption
• Quantum Communication
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Homomorphic Encryption How does it work?
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Business Models CRYPTO-CURRENCIES AND BLOCKCHAIN
CLEARING HOUSE
CEN
TRA
LIZE
D L
EDG
ER
DIS
TRIB
UTE
D L
EDG
ER
PRINCIPLES CHALLENGES
Trustless
Distributed
Peer to Peer
Immutable
Open Source
Verifiable & Auditable
Sustainability
Volatility
Integrity
Capacity
Lack of governance and protection
!
CONCLUSIONS
“Private” Blockchains or Sidechains can help address some of the challenges, but may require compromises to some core principles. Blockchain and derivatives have the potential to become a primary means of authenticating business process transactions and will see mainstream adoption by 2020.
In the world of ubiquitous connectivity and peer to peer interactions, the challenge of establishing and maintaining
trust, security and privacy has never been greater