Participatory Sensing through Social Networks

2,074 views

Published on

Paper "Integrating People‐Centric Sensing with
Social Networks – A privacy research agenda" presented at IEEE International Workshop on SECurity and SOCial Networking (SESOC) held with PerCom 2010 in Mannheim, Germany, March 29th, 2010

https://pi1.informatik.uni-mannheim.de/filepool/publications/2010_SeSoc_UrbanSensingPrivacy.pdf

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
2,074
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Participatory Sensing through Social Networks

  1. 1. Integrating People-Centric Sensing with Social Networks – A privacy research agenda<br />Ioannis Krontiris<br />March 29th, 2010<br />
  2. 2. Anytime, anywhere<br />Spatiotemporal Data<br />Augmented Reality<br />MobilePhones<br />Pervasive Games<br />Location-based Services<br />Mobile Sensing<br />Mobile Social Networks<br />People-centric Sensing<br />Semantic Sensor Web<br />Urban Sensing<br />People<br />Social Media<br />Sensors<br />Sensor Networks<br />User-generated Content<br />Sensor Data<br />
  3. 3. Based on: Matt Welsh - EWSN 2010 Keynote Speech<br />
  4. 4. reliability<br />http://www.flickr.com/photos/wouterh/2410086418/<br />
  5. 5. sensor networks == fun<br />http://www.flickr.com/photos/mark-garrett/304430466/<br />
  6. 6. deployment<br />
  7. 7.
  8. 8.
  9. 9.
  10. 10.
  11. 11.
  12. 12. NoiseTube<br />
  13. 13.
  14. 14. research<br />directions<br />
  15. 15. participation<br />
  16. 16.
  17. 17.
  18. 18. closed world applications<br />
  19. 19. “Data is the new Intel inside” (Tim o’reilly)<br />
  20. 20. http://www.flickr.com/photos/nnova/4046211850/<br />
  21. 21. “ A mashup is a web page or application that combines data or functionality from two or more external sources to create a new service. The term mashup implies easy, fast integration, frequently using open APIs and data sources to produce results that were not the original reason for producing the raw source data.”<br />
  22. 22.
  23. 23.
  24. 24. location privacy<br />
  25. 25. Privacy Policies<br />Let consumers know about collector’s privacy practices<br />Consumers can then decide<br />whether or not practices are acceptable<br />when to opt-in or opt-out<br />who to do business with<br />
  26. 26. Marc Langheinrich: Location Privacy. Tutorial at MobileHCI 2009<br />
  27. 27.
  28. 28.
  29. 29. Summary<br />participation<br />threats?<br />open world<br />anonymity<br />

×