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Analytics for mobile users

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Analytics for mobile users. Analytics for visitors based on the monitoring for mobile phones. Google Adsense for real places and real visitors.

Analytics for mobile users. Analytics for visitors based on the monitoring for mobile phones. Google Adsense for real places and real visitors.

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Analytics for mobile users

  1. 1. Analytics for mobile users Dmitry Namiot Lomonosov Moscow State University dnamiot@gmail.com
  2. 2. • Analytics for visitors based on the monitoring for mobile phones • The final goal – an analogue for web statistics (a-la Google Analytics), but for the real places and real visitors • Additional services based on the detection of physical presence About
  3. 3. Contents Introduction Passive Wi-Fi monitoring Players Directions for research
  4. 4. Common tasks • How can we detect the presence for mobile phone? • Key moment: it should be done without any additional activity from mobile users • Network proximity: the detection is based on the wireless sensors. Mostly: Wi-Fi. Technically: we can use Bluetooth too.
  5. 5. Passive Wi-Fi monitoring • Wi-Fi probe request • Client (even not connected) can send requests to AP • AP can analyze requests • We can collect MAC- addresses for clients
  6. 6. Advantages and disadvantages • Does not require special mobile applications • For mobile users it works automatically and transparently • It is anonymous monitoring. MAC address is used for re-identification only. It could be replaced with some hash-code (privacy) • It is not 100% reliable. There is no warranty that Wi-Fi client will send probe request
  7. 7. Passive monitoring examples Navizon
  8. 8. Passive monitoring examples. Cisco MSE
  9. 9. Passive monitoring examples. Libelium
  10. 10. Meraki (Cisco)
  11. 11. Walkbase
  12. 12. Y-Find
  13. 13. More players • AirTight • Euclid • Nomi • Swarm • Nearbuy • Boldstreet Wireless
  14. 14. Spotique
  15. 15. Spotique
  16. 16. Future development • At the end of the day, we expect mobile analytics to be included into almost every Wi-Fi router • The key moment – additional services based on the physical presence detection. • For example: detect routes indoor, behavior patterns and unusual behavior, local area messaging

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