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PRIVATE INFORMATION EXPOSURE IN ONLINE SOCIAL NETWORKS WITH IOS, ANDROID AND SYMBIAN MOBILE DEVICES Security and Cooperation in Wireless Networks Laboratory.

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Presentation on theme: "PRIVATE INFORMATION EXPOSURE IN ONLINE SOCIAL NETWORKS WITH IOS, ANDROID AND SYMBIAN MOBILE DEVICES Security and Cooperation in Wireless Networks Laboratory."— Presentation transcript:

1 PRIVATE INFORMATION EXPOSURE IN ONLINE SOCIAL NETWORKS WITH IOS, ANDROID AND SYMBIAN MOBILE DEVICES Security and Cooperation in Wireless Networks Laboratory For Communications and Applications1 Mini Project Final Presentation Supervisors: Igor Bilogrevic Mathias Humbert Vassilis Agrafiotis – Communication Systems MA3 1/17

2 Roadmap  Motivation and Introduction  Set Up  Methodology  Results  Privacy Risk Scale  Results Summary  Conclusion and Improvements 2

3 Motivation  To which extent is Privacy respected within Online Social Networks (OSN) ?  Study by looking for Private information disclosure in mobile OSNs  For some mobile platforms, different social networks require unnecessary personal – private information in order to perform an action.  Simulation and traffic analysis project 3

4 Introduction  Selection of OSNs to investigate according to their popularity 4

5 Introduction  Mobile Platforms studied: iOS, Android, Symbian  Access OSN and record traffic from  mobile web browser  mobile Application if available 5

6 Set Up 6

7 7

8 Methodology  Fake accounts for every OSN created  Set of possible actions defined within each OSN  Manually simulated execution for every OSN  Network traffic captured using WireShark 8

9 Methodology  Traffic traces analyzed using a Java parser Specific format information ex. email Coordinate like decimals  Further analysis with manual inspection of traces 9

10 Methodology  A lot of traces were encrypted  In this case, we collected also traffic by accessing the OSNs through a PC for comparison  During the sniffing stage, we recorded the usage of GPS by noticing the GPS flash indication on the Smartphone 10

11 Privacy Risk Scale 11

12 Results  In overall no major privacy violation discovered  Most of the traffic was encrypted  Thus unable to accurately determine traffic content  Threat: what information is actually sent?  Type of information exchanged between SmartPhone and OSN are platform indepedent 12

13 13

14 Results 14

15 Results 15

16 Results 16

17 Conclusion and Improvements  Popular OSNs are taking privacy seriously, but still place to improve Encrypted traffic may be a 2-headed feature  Extend our study to others OSNs  Use emulator to simulate the execution and the usage of OSNs TEMA project for Android platform  Record system calls in order to have more evidence about the type of information sent to OSNs servers 17


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