The number of connected devices connected to the Internet is growing rapidly. When talking about devices it also covers the ones not having any contact with humans. This type of devices are the ones that are expected to increase the most. That is why the field of device fingerprinting is an area that requires further investigation. This thesis measures and evaluates the accelerometer, camera and gyroscope sensor of a mobile device to the use as device fingerprinting. The method used is based on previous research in sensor identification together with methods used for designing a biometric system. The combination with long-proven methods in the biometric area with new research of sensor identification is a new approach of looking at device fingerprinting.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-119341 |
| Date | January 2015 |
| Creators | Karlsson, Anna |
| Publisher | Linköpings universitet, Informationskodning, Linköpings universitet, Tekniska fakulteten |
| 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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