Context. The potential to track individuals become greater and greater in the society today. We want to develop a method that is easy to understand so more people can participate in the discussion about the collection, and storing, of seemingly non-invasive device data and personal integrity. Objectives. In this work we investigate the potential to connect a WiFi enabled device to a known individual by analysing log files. Since we want to keep the method as simple as possible we choose to not use machine learning because this might add unnecessary layers of complexity. Methods. The conducted experiments were performed against a test group consisting of six persons. The dataset used consisted of authentication logs from a university WiFi-network collected during a month and data acquired by capturing WiFi-traffic. Results. We were able to connect 67% of the targeted test persons to their smart phones and 60% to their laptops. Conclusions. In this work we conclude that a device identifier in combination with data that can tie it to a location at a given time is to be seen as sensitive information with regard to personal integrity. We also conclude that it is possible to create and use an easy method to connect a device to a given person.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-10379 |
| Date | January 2015 |
| Creators | Vesterlund, Martin, Wiklund, Viktor |
| Publisher | Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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