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SMARTIE

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DunavNET
DunavNET

The document discusses a project aimed at creating a distributed framework for securely sharing large volumes of heterogeneous information from IoT devices (predicted to reach 26 billion by 2020) to enable smart city applications. The objectives are to: 1) Identify requirements for trust and privacy in smart city use cases; 2) Ensure security in IoT networks and devices; 3) Implement trusted information storage and access controls; and 4) Develop methods for private analytics and information retrieval. Partners in Germany, UK, Portugal, Serbia and Spain will collaborate on use cases involving traffic, energy and transportation data in their cities. A pilot project in Novi Sad aims to provide smart transportation services using bus and traveler location data while focusing on data security and privacy.

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Secure and smarter cities data management
26 Billion Devices by 2020 from just900 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 Inova巽達o S.A. (PT) DunavNET Ltd. (RS) Green Way Systems GmbH (DE) Universidad de Murcia (ES) Instituto de Fomento de la Regi坦n 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 just900 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 Inova巽達o S.A. (PT) DunavNET Ltd. (RS) Green Way Systems GmbH (DE) Universidad de Murcia (ES) Instituto de Fomento de la Regi坦n 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