Abstract—A number of devices, web services and applications are being released with, or updated to be locationally aware. The use of location data can be used for a wide variety of purposes, including navigation, social networking, data mining and providing localised content. This location data has potential for establishing a locational history for these devices. The sources of this location data exceed the global positioning system (GPS) based data, including pre- and post-incident triangulation of mobile and cell towers, images and network histories. This paper proposes a classification framework ranking the reliability of potential evidence. This ranking is dependent on the intended purpose of the mechanism involved the generation of such. The classification classes proposed are implicit, connectivity based and metadata, each representing a different level of confidence and identifying features.
Index Terms—Embedded forensics, locational forensics, digital forensics, forensics, GPS, embedded computing
P. Hannay is with the Edith Cowan University Security Research Institute, Perth, WA 6027 Australia (e-mail: p.hannay@ecu.edu.au).
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Cite: Peter Hannay, "Geo Forensics: Classes of Locational Data Sources for Embedded Devices," International Journal of Engineering and Technology vol. 5, no. 2, pp. 262-265, 2013.
