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- W4385270235 abstract "Criminals bringing their mobile devices to a burglary and subsequently fleeing the crime scene may be tracked and re-identified by digital traces left behind by their devices, e.g., by utilizing WiFi routers listening to their communication. Currently, it is unclear how a sensor network for automated tracking of these fleeing devices should be designed, especially considering a privacy-respecting operation. While various WiFi device tracking techniques are well researched for indoor applications, tracking non-cooperative devices using a sensor network through a town or city is a unique use-case that is yet to be examined. In this paper a tracking simulator is implemented which allows for multiple parameters of both the fleeing device as well as the sensors to be thoroughly tested and its tracking performance based on these parameters to be evaluated. For this, different metrics such as device activity, detection events, and path reconstruction are gathered by running the simulation using different sensor activation strategies with the goal to have as many sensors as needed but as few as possible active. Through this approach, the device tracking success is evaluated while having minimal infringement on the privacy of devices not being involved with the criminal activity." @default.
- W4385270235 created "2023-07-27" @default.
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- W4385270235 date "2023-06-21" @default.
- W4385270235 modified "2023-09-25" @default.
- W4385270235 title "Analyzing the Feasibility of Privacy-Respecting Automated Tracking of Devices Fleeing a Burglary" @default.
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- W4385270235 doi "https://doi.org/10.1109/wimob58348.2023.10187747" @default.
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