Smart Energy and Autonomous Vehicles Pilot Projects in Helsinki and Tallinn

 
Kalasatama
: Smart Buildings can participate
on energy market, since they have a 
smart
meter
  data interface that provides
information on consumption of electricity.
Additionally, they provide 
load control
functions that the distribution system
operator (DSO) can use in situations where
the production has reached its peak.
 
 
1
 
Helsinki p
ilot
Helsinki City: 
 The use case will make use of an 
energy distribution
system
 to connect Helsinki and Tallinn energy infrastructures
 
Effective incident response and threat
intelligence collaboration for cross-border
smart grid threats
Secure customer-facing components:
Against threats to control functions defined for the
demand control
Secure APIs:
Smart Grid API from Kalasatama (district of Helsinki)
Smart Grid APIs from the city of Tallinn.
 
 
2
 
Goals and Challenges:
 
Helsinki p
ilot
 
3
 
Helsinki p
ilot: Cyber Range
 
This demonstration will be emulated as a cross-border crisis management
exercise on the Virtual Cyber Range (VCR), with Digital Twins of the target smart
grid systems, as well as Digital Twin honeypots
 
Tallinn p
ilot
 
4
 
Goals and Challenges:
 
Ensuring availability of data and
the operations of autonomous
vehicle and supporting
infrastructure.
Lack of investigation of cyber
defence mechanisms that
facilitate autonomous detection
and risk-based response for
privacy breaches.
Featuring:
 AI-enabled autonomous vehicle 
shuttles
 (AV shuttle) that are
monitored by a centralized remote operation centre.
 
Barcelona pilot
 
5
 
Goals and Challenges:
 
Ensuring availability of IoT and IA
infrastructure for the safety of tram
users.
 
Lack of experience as well as of
tools, for detecting and reporting
IoT & AI attack vectors.
Featuring: AI computer vision system and an IoT infrastructure
deployed at a Tramway station 
to avoid potential accidents between
bicycles and pedestrians getting off the train.
 
Key takeaways
 
Smart Cities => 
novel
, cutting edge AI/IoT-driven technology
 
This implies 
Emerging Threats
 ! High risks!
 
Currently, 
lack of experience as well as of tools
 for incident management
that tackle IoT & AI attack vectors
 
IRIS
 will enhance the capabilities (knowledge, toolset, training) of
CERTs/CSIRTs, to address these challenges.
 
Thank you for your attention!
 
Gonçalo Cadete (INOV)
 
IRIS Objectives
 
To 
identify 
the user, technical and business requirements and 
design 
the
architecture of an AI threat reporting and incident response system
 
To 
analyze
 the relevant ethics principles and legal framework on privacy concerns
 
To 
develop
 a collaborative platform for ICT stakeholders and European CERTs/CSIRTs
for the successful operation of IoT and AI-enabled ICT systems
 
To 
demonstrate
 and 
validate
 the integrated IRIS platform across three realistic pilot
demonstrators in three smart cities
 
To 
ensure
 wide communication and scientific dissemination of the IRIS results,
efficient exploitation and contribution to relevant standardization bodies
 
8
 
IRIS Methodology
 
9
 
IRIS Pilots: 
P
ilot 
U
se 
C
ase 
1
 
Securing the smart city’s IoT and control systems against confidentiality and
integrity breaches (Barcelona, Spain)
 
10
 
Barcelona pilot: threat scenarios
 
IRIS Pilots: 
Pilot Use Case 2
 
Securing AI-enabled infrastructure of autonomous transport systems in
a smart city (Tallinn, Estonia)
 
12
 
Tallinn Pilot: threat scenarios
 
Availability of telemetric data from
the AV to the Urban Operating
Platform (UoP)
False information being fed to
disrupt the ML/AI used for
autonomous driving
 
13
 
IRIS Pilots: 
Pilot Use Case 3
 
Effective incident response and threat intelligence collaboration for critical cross-border
smart grid threats (Helsinki, Finland and Tallinn, Estonia)
 
14
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These pilot projects in Helsinki and Tallinn aim to revolutionize energy distribution and transportation through smart grid technologies and AI-enabled autonomous vehicles. The Helsinki pilot focuses on smart buildings participating in the energy market, while the Tallinn pilot features AI-enabled autonomous vehicle shuttles monitored by a remote operation center. Both projects address challenges in energy management, incident response, and autonomous vehicle operations, supported by Horizon 2020 funding.

  • Smart Energy
  • Autonomous Vehicles
  • Helsinki
  • Tallinn
  • Horizon 2020

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  1. Helsinki pilot Helsinki City: The use case will make use of an energy distribution system to connect Helsinki and Tallinn energy infrastructures Kalasatama: Smart Buildings can participate on energy market, since they have a smart meter data interface that provides information on consumption of electricity. Additionally, they provide load control functions that the distribution system operator (DSO) can use in situations where the production has reached its peak. 1 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  2. Helsinki pilot Goals and Challenges: Effective incident response and threat intelligence collaboration for cross-border smart grid threats Secure customer-facing components: Against threats to control functions defined for the demand control Secure APIs: Smart Grid API from Kalasatama (district of Helsinki) Smart Grid APIs from the city of Tallinn. 2 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  3. Helsinki pilot: Cyber Range This demonstration will be emulated as a cross-border crisis management exercise on the Virtual Cyber Range (VCR), with Digital Twins of the target smart grid systems, as well as Digital Twin honeypots 3 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  4. Tallinn pilot Featuring: AI-enabled autonomous vehicle shuttles (AV shuttle) that are monitored by a centralized remote operation centre. Goals and Challenges: Ensuring availability of data and the operations of autonomous vehicle and supporting infrastructure. Lack of investigation of cyber defence mechanisms that facilitate autonomous detection and risk-based response for privacy breaches. 4 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  5. Barcelona pilot Featuring: AI computer vision system and an IoT infrastructure deployed at a Tramway station to avoid potential accidents between bicycles and pedestrians getting off the train. Goals and Challenges: Ensuring availability of IoT and IA infrastructure for the safety of tram users. Lack of experience as well as of tools, for detecting and reporting IoT & AI attack vectors. 5 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  6. Key takeaways Smart Cities => novel, cutting edge AI/IoT-driven technology This implies Emerging Threats ! High risks! Currently, lack of experience as well as of tools for incident management that tackle IoT & AI attack vectors IRIS will enhance the capabilities (knowledge, toolset, training) of CERTs/CSIRTs, to address these challenges. This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  7. Thank you for your attention! iris-h2020.eu Gon alo Cadete (INOV) IRIS H2020 Project iris_h2020 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  8. IRIS Objectives To identify the user, technical and business requirements and design the architecture of an AI threat reporting and incident response system To analyze the relevant ethics principles and legal framework on privacy concerns To develop a collaborative platform for ICT stakeholders and European CERTs/CSIRTs for the successful operation of IoT and AI-enabled ICT systems To demonstrate and validate the integrated IRIS platform across three realistic pilot demonstrators in three smart cities To ensure wide communication and scientific dissemination of the IRIS results, efficient exploitation and contribution to relevant standardization bodies 8 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  9. IRIS Methodology 9 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  10. IRIS Pilots: Pilot Use Case 1 Securing the smart city s IoT and control systems against confidentiality and integrity breaches (Barcelona, Spain) 10 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  11. Barcelona pilot: threat scenarios On-Street cameras generate information about the intersection status. This information is used by Tramway operators to control (allow/disallow) the Tramway. This information is shared through an API. Threat Actor Injects fake data by targeting the different hardware appliances in the scenario with the goal of either denying the service, thus forcefully stopping the Tramway, or faking the presence of a possible pedestrian or bicycle approaching the intersection. IRIS ATA module is able identify actionable and accurate cyber threats against the availability of the supporting infrastructure. Also, IRIS will assist CERT investigation and incident response through the CTI module, Sharing the information about the attacks and security breaches. CERT and Tramway operators are notified by IRIS Platform. This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  12. IRIS Pilots: Pilot Use Case 2 Securing AI-enabled infrastructure of autonomous transport systems in a smart city (Tallinn, Estonia) 12 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  13. Tallinn Pilot: threat scenarios Availability of telemetric data from the AV to the Urban Operating Platform (UoP) False information being fed to disrupt the ML/AI used for autonomous driving 13 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

  14. IRIS Pilots: Pilot Use Case 3 Effective incident response and threat intelligence collaboration for critical cross-border smart grid threats (Helsinki, Finland and Tallinn, Estonia) 14 This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement no 101021727. This material reflects only the authors view and European Commission is not responsible for any use that may be made of the information it contains.

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