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Secure and smarter
cities data management
26 Billion Devices by 2020
• from just 900 million Gartner predicts 30x
increase
• challenges
– Security
– Consumer privacy
– Enterprise
• Data
• Storage management
• Server technologies
• Data center network
Mission - Vision
• To create a distributed framework
• To share large volumes of heterogeneous
information for the use in smart-city
applications
• End-to-end security and trust in information
delivery
• A Smart City can improve the Smart and
Comfort Live of their citizens enormously
Partners
• IHP GmbH (DE)
• NEC Europe Ltd. (UK)
• Portugal Telecom Inovação S.A.
(PT)
• DunavNET Ltd. (RS)
• Green Way Systems GmbH (DE)
• Universidad de Murcia (ES)
• Instituto de Fomento de la
Región de Murcia (ES)
Objectives
5
Objective 1: Requirements and Architecture
• Use-cases in the smart city
(e.g. energy, traffic, public
safety)
– identify requirements for trust
in the information
– identify privacy requirements
(personal, business,
regulatory)
• Derive technical requirements
and develop a policy-enabled
distributed architecture for IoT
data collection, processing and
sharing
6
Objective 2: Trust and Security in the
perception and network layer
• Weakest link determines the security: already the
nodes must be trustworthy.
• Security for information source (sensor devices,
smartphones)
• Secure communication between devices and
platform, light-weigh cryptographic protocols
• Attestation of the sensor state and quality of the
platform capabilities
7
Objective 3: Trusted information
creation and secure storage
• Adapt security mechanisms based on the
requirements at runtime
• Access control and policies across domains
• Encrypted storage against data leakage,
cryptographic protection of data integrity during
aggregation
• Trace trust in data while data aggregation and
storage
8
Objective 4: Technologies for
information retrieval and processing
• Information needs to be retrieved from a massive
distributed system-of-systems
• Develop methods for privacy-preserving event
detection and processing
– consumer learns only relevant processed information
• Discover trusted data following privacy and access
rights
• Provide interfaces for cooperation between the systems
and towards the application
9
Developed components
• PrivLoc: Preventing Location Tracking in
Geofencing Services
• ShortECC: Lightweight Security Approach for
Wireless Sensor
• DCapBAC: Embedding authorization logic into
Smart Things through ECC optimizations
• lwsCoAP: Optimized CoAP for embedded devices
• Secure RD: search and discovery utilising
user authentication and secure storage
Use Cases
• Frankfurt/Oder (GER)
 Traffic management with the possibility to influence real traffic.
 Focus on authentication, trust, data security, interoperability
• Murcia (ES)
 Monitoring energy efficiency in the campus
 Users can interact with the system to improve energy efficiency.
• Novi Sad (RS)
 Provide smart transportation using location of busses and travellers
 Focus on data security and privacy using developed access rights
and policies
Novi Sad
• Using data from Novi Sad became possible recently
– GPS data of busses are now available
• Commitment from the city of Novi Sad and from the
organisation managing the data
• Utilise location of busses and travellers
• Provide smartphone application to enable travellers
access to smart transportation usage
• Collect various data from different sources and
extrapolate services to different stakeholders
• Focus on data security and privacy using developed
access rights and policies
12
Novi Sad - Pilot
13
QR code sticker (on a bus stop)
Buy mTicket
See the bus arrival time
Plan route through the city
Visit tourist attractions
Soon in 2015..
2. Run MobiWallet app
and...
1. Scan QR code and
download application
Scanning the QR code with mTicketing
application
QR code based triggering of information in AR view on:
• bus arrival times
• environmental parameters
• display of info dynamic map with buses, bus stops and bus routes
Map with the tracked bus and the bus stop
(available upon QR code scanning)
Available information on bus arrival time by
selecting the bus on a map
Displayed
environmental
parameters on a
smartphone at
the bus stop
location
Daily ticket
for the city
bus
transport
Bus mobile ticket example
PkPass Daily Ticket
QR code for
validation
SMARTIE

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SMARTIE

  • 1. Secure and smarter cities data management
  • 2. 26 Billion Devices by 2020 • from just 900 million Gartner predicts 30x increase • challenges – Security – Consumer privacy – Enterprise • Data • Storage management • Server technologies • Data center network
  • 3. Mission - Vision • To create a distributed framework • To share large volumes of heterogeneous information for the use in smart-city applications • End-to-end security and trust in information delivery • A Smart City can improve the Smart and Comfort Live of their citizens enormously
  • 4. Partners • IHP GmbH (DE) • NEC Europe Ltd. (UK) • Portugal Telecom Inovação S.A. (PT) • DunavNET Ltd. (RS) • Green Way Systems GmbH (DE) • Universidad de Murcia (ES) • Instituto de Fomento de la Región de Murcia (ES)
  • 6. Objective 1: Requirements and Architecture • Use-cases in the smart city (e.g. energy, traffic, public safety) – identify requirements for trust in the information – identify privacy requirements (personal, business, regulatory) • Derive technical requirements and develop a policy-enabled distributed architecture for IoT data collection, processing and sharing 6
  • 7. Objective 2: Trust and Security in the perception and network layer • Weakest link determines the security: already the nodes must be trustworthy. • Security for information source (sensor devices, smartphones) • Secure communication between devices and platform, light-weigh cryptographic protocols • Attestation of the sensor state and quality of the platform capabilities 7
  • 8. Objective 3: Trusted information creation and secure storage • Adapt security mechanisms based on the requirements at runtime • Access control and policies across domains • Encrypted storage against data leakage, cryptographic protection of data integrity during aggregation • Trace trust in data while data aggregation and storage 8
  • 9. Objective 4: Technologies for information retrieval and processing • Information needs to be retrieved from a massive distributed system-of-systems • Develop methods for privacy-preserving event detection and processing – consumer learns only relevant processed information • Discover trusted data following privacy and access rights • Provide interfaces for cooperation between the systems and towards the application 9
  • 10. Developed components • PrivLoc: Preventing Location Tracking in Geofencing Services • ShortECC: Lightweight Security Approach for Wireless Sensor • DCapBAC: Embedding authorization logic into Smart Things through ECC optimizations • lwsCoAP: Optimized CoAP for embedded devices • Secure RD: search and discovery utilising user authentication and secure storage
  • 11. Use Cases • Frankfurt/Oder (GER)  Traffic management with the possibility to influence real traffic.  Focus on authentication, trust, data security, interoperability • Murcia (ES)  Monitoring energy efficiency in the campus  Users can interact with the system to improve energy efficiency. • Novi Sad (RS)  Provide smart transportation using location of busses and travellers  Focus on data security and privacy using developed access rights and policies
  • 12. Novi Sad • Using data from Novi Sad became possible recently – GPS data of busses are now available • Commitment from the city of Novi Sad and from the organisation managing the data • Utilise location of busses and travellers • Provide smartphone application to enable travellers access to smart transportation usage • Collect various data from different sources and extrapolate services to different stakeholders • Focus on data security and privacy using developed access rights and policies 12
  • 13. Novi Sad - Pilot 13
  • 14. QR code sticker (on a bus stop) Buy mTicket See the bus arrival time Plan route through the city Visit tourist attractions Soon in 2015.. 2. Run MobiWallet app and... 1. Scan QR code and download application
  • 15. Scanning the QR code with mTicketing application QR code based triggering of information in AR view on: • bus arrival times • environmental parameters • display of info dynamic map with buses, bus stops and bus routes Map with the tracked bus and the bus stop (available upon QR code scanning) Available information on bus arrival time by selecting the bus on a map Displayed environmental parameters on a smartphone at the bus stop location
  • 16. Daily ticket for the city bus transport
  • 17. Bus mobile ticket example PkPass Daily Ticket QR code for validation