Resources
Identity Use Cases & Scenarios.- FIDIS Deliverables.
- Identity of Identity.
- Interoperability.
- Profiling.
- Forensic Implications.
- HighTechID.
- Privacy and legal-social content.
- Mobility and Identity.
- D11.1: Mobility and Identity.
- D11.2: Mobility and LBS.
- D11.3: Economic aspects of mobility and identity.
- D11.4: Workshop on Mobility and Identity.
- D11.5: The legal framework for location-based services in Europe.
- D11.12: Mobile Marketing in the Perspective of Identity, Privacy and Transparency.
- Other.
- IDIS Journal.
- FIDIS Interactive.
- Press & Events.
- In-House Journal.
- Booklets
- Identity in a Networked World.
- Identity R/Evolution.
D11.6: Survey on Mobile Identity
The deliverable in hand provides the results of an explorative survey on the
control model for identity related data in location-based services (LBS)
presented in FIDIS deliverable D11.2.
The survey was performed to explore the influence of LBS characteristics (pull
vs. push based, indirect vs. direct profile creation) on the perceived amount of
control participants have about the disclosure of their identity.
Four scenarios, each reflected a different aspect of the control model, have been
designed and tested.
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The legal framework for LBS in Europe FIXED AND MOBILE SENSORS OR OBJECTS |
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Fixed and mobile sensors or objects
Location systems typically need a static and a mobile component, leading to two operational modes of location systems.
Static sensors and mobile devices or objects bearing or transmitting location information; in this case the location information is given by the position of the identifiable sensor and can be interpreted using, e.g., reference databases (cf. ), and
Mobile sensors and static objects bearing or devices transmitting location information; in this case the location information is given by the identifiable object or device. In this case reference databases can also be used.
Figure : Schematic of a location system with static sensors at known locations
Examples for the use of static sensors are:
Toll collection systems using RFID (e.g. Intelligent Highway Vehicle Systems in the USA) or optical sensors (e.g. TollCollect in Germany)
RFID systems using static RFID receivers in logistics, service points, electronic-detention systems etc.
Location data generated by mobile phones in GSM cells (in this context the static GSM sender contains the sensor for the GSM cell)
Biometric systems, using static (optical) sensors such as video surveillance systems at a fixed location in combination with face recognition systems, finger printing systems, iris scan systems etc.
Border control systems using ICAO-compatible Machine Readable Travel Documents (MRTDs)
Indoor positioning systems based on wireless technologies, such as WiFi or Bluetooth.
ATMs and other paying machines where users identify themselves with a bank card.
Examples for the use of mobile sensors are:
Use of satellite-based positioning systems such as GPS and the future European system “Galileo”,
RFID systems used, e.g., in museums (Hildebrandt, Meints 2006) and fully automated warehouses, where the RFID tags are fixed at certain locations and the receivers are used mobile by visitors of the museum or vehicles carrying goods around in the warehouse.
In addition, location information can be generated automatically and continuously, automatically in certain time intervals (both also used by push services) or by request (also used by pull services, see Nassary-Zadeh 2007).
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