Creating Secured Value Chains
for Smart Industries
6th FIWARE Summit, Genua, Italy
2019/05/21
Ernö Kovacs / Flavio Cirillo
NEC Laboratories Europe GmbH.
IoT Platform Research
2 © NEC Corporation 2018
Industrial IoT:
Obstacles concerning extensive sharing of data
[1] Data exchange as a first step towards data economy – a PWC study
https://www.internationaldataspaces.org/en/publications/data-exchange-as-a-first-step-towards-data-economy-a-pwc-study-2/
57%
worry about revealing
valuable data and
business secrets.
59%
fear the loss of
control over their
data.
55%
feel inconsistent
processes and
systems as a (very)
big obstacle.
32%
fear that sharing
ecosystem do not
reach the critical
mass, so that data
exchange will be
interesting.
Issues
preventing data
sharing
between
companies [1]
Counter
measures
Communities
Exploiting FIWARE
ecosystem, standards
and data models
Secure Data Spaces:
Orchestrate data
analytics based on
privacy policies
Data Sovereignty:
Data traceability,
Data provenance,
Data usage control
Blockchain
Marketplace and Next
Generation Context
Management:
Standardized Business
API (TM- Forum),
IoT Data and services
marketplace,
Smart Contracts,
Shared data knowledge
graph
Marketplace
3 © NEC Corporation 2018
4 © NEC Corporation 2018
5 © NEC Corporation 2018
6 © NEC Corporation 2018
7 © NEC Corporation 2018
Smart Cities and Secure Data Spaces: Technology Trend
▌2019 will see the launch of 5G
l The connection of every device will become cheap
l Big amount of data generated
▌Data analytics are more and more packaged
into containers to be run on edge devices:
l Microsoft Azure IoT Edge
l Siemens Industrial Edge
l General Electrics Predix Edge
l AWS Greengrass
l NEC FIWARE FogFlow
l …
▌Usage control systems are moving from
merely legal enforcement to technical
enforcements
l IDSA (International Data Spaces Associations)
Data Usage Policies.
IDSA Categories:
8 © NEC Corporation 2018
FogFlow capabilities
▌An operator (i.e. task for FogFlow) communicates only to
FogFlow, all other channels are blocked
à Basis for a full control over the processed data…
Operator
FogFlow
9 © NEC Corporation 2018
Federated AI with FogFlow GE
10 © NEC Corporation 2018
Analytic
Task
Data Analytics Topology
Analytic
Task
Analytic
Task
Secure Data Spaces: Multiple Smart Industry stakeholders
worker
New aggregation task
instantiated by the
system
▌ FogFlow is the shared framework
(through federation) for data
analytics
▌ Tasks are dispatched to workers
taking into account:
l Geo location
l Resource availability
l Privacy Concerns
l Data usage and Data access
policies
▌ Data is handled only by the
FogFlow system:
l Analytics tasks have access to data
only from the Federated FogFlow
system
▌ Analytics tasks can be added at
runtime for enforcing policies
broker
Logistic
operator
worker
broker
Engineering B
worker
broker
Factory A
▌ Containers
l Can be docker or trust|me. The
latter more secure and it is
available a converter to
transform docker container to
trust|me container.
▌ Tasks isolation
l Tasks run into isolated service container
l Service Containers cannot interact directly with each
other
l Service container do not have direct access to Internet
l All the messages pass through the container
environment
11 © NEC Corporation 2018
Data Marketplace based on Blockchain / Data Spaces
Identities and Policies Blockchain
Context Discovery Blockchain
12 © NEC Corporation 2018
Workbench NWorkbench A
Marketplace
for AI Models
Defect Product
Detection
Local AI model creation
(labelling, training,
and learning at edges)
Sharing of AI models
for defect goods
Local AI model
federation and
usage
……
FIWARE Global Summit - Creating Secured Value Chains for Smart Industries
FIWARE Global Summit - Creating Secured Value Chains for Smart Industries

FIWARE Global Summit - Creating Secured Value Chains for Smart Industries

  • 1.
    Creating Secured ValueChains for Smart Industries 6th FIWARE Summit, Genua, Italy 2019/05/21 Ernö Kovacs / Flavio Cirillo NEC Laboratories Europe GmbH. IoT Platform Research
  • 2.
    2 © NECCorporation 2018 Industrial IoT: Obstacles concerning extensive sharing of data [1] Data exchange as a first step towards data economy – a PWC study https://www.internationaldataspaces.org/en/publications/data-exchange-as-a-first-step-towards-data-economy-a-pwc-study-2/ 57% worry about revealing valuable data and business secrets. 59% fear the loss of control over their data. 55% feel inconsistent processes and systems as a (very) big obstacle. 32% fear that sharing ecosystem do not reach the critical mass, so that data exchange will be interesting. Issues preventing data sharing between companies [1] Counter measures Communities Exploiting FIWARE ecosystem, standards and data models Secure Data Spaces: Orchestrate data analytics based on privacy policies Data Sovereignty: Data traceability, Data provenance, Data usage control Blockchain Marketplace and Next Generation Context Management: Standardized Business API (TM- Forum), IoT Data and services marketplace, Smart Contracts, Shared data knowledge graph Marketplace
  • 3.
    3 © NECCorporation 2018
  • 4.
    4 © NECCorporation 2018
  • 5.
    5 © NECCorporation 2018
  • 6.
    6 © NECCorporation 2018
  • 7.
    7 © NECCorporation 2018 Smart Cities and Secure Data Spaces: Technology Trend ▌2019 will see the launch of 5G l The connection of every device will become cheap l Big amount of data generated ▌Data analytics are more and more packaged into containers to be run on edge devices: l Microsoft Azure IoT Edge l Siemens Industrial Edge l General Electrics Predix Edge l AWS Greengrass l NEC FIWARE FogFlow l … ▌Usage control systems are moving from merely legal enforcement to technical enforcements l IDSA (International Data Spaces Associations) Data Usage Policies. IDSA Categories:
  • 8.
    8 © NECCorporation 2018 FogFlow capabilities ▌An operator (i.e. task for FogFlow) communicates only to FogFlow, all other channels are blocked à Basis for a full control over the processed data… Operator FogFlow
  • 9.
    9 © NECCorporation 2018 Federated AI with FogFlow GE
  • 10.
    10 © NECCorporation 2018 Analytic Task Data Analytics Topology Analytic Task Analytic Task Secure Data Spaces: Multiple Smart Industry stakeholders worker New aggregation task instantiated by the system ▌ FogFlow is the shared framework (through federation) for data analytics ▌ Tasks are dispatched to workers taking into account: l Geo location l Resource availability l Privacy Concerns l Data usage and Data access policies ▌ Data is handled only by the FogFlow system: l Analytics tasks have access to data only from the Federated FogFlow system ▌ Analytics tasks can be added at runtime for enforcing policies broker Logistic operator worker broker Engineering B worker broker Factory A ▌ Containers l Can be docker or trust|me. The latter more secure and it is available a converter to transform docker container to trust|me container. ▌ Tasks isolation l Tasks run into isolated service container l Service Containers cannot interact directly with each other l Service container do not have direct access to Internet l All the messages pass through the container environment
  • 11.
    11 © NECCorporation 2018 Data Marketplace based on Blockchain / Data Spaces Identities and Policies Blockchain Context Discovery Blockchain
  • 12.
    12 © NECCorporation 2018 Workbench NWorkbench A Marketplace for AI Models Defect Product Detection Local AI model creation (labelling, training, and learning at edges) Sharing of AI models for defect goods Local AI model federation and usage ……