Privacy threats in low-cost people counting devices
Autor: | Luca Calderoni, Niccolò Maltoni, Antonio Magnani |
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Přispěvatelé: | Maltoni N., Magnani A., Calderoni L. |
Rok vydání: | 2020 |
Předmět: |
Wi-fi analytics
021110 strategic defence & security studies Network packet Computer science business.industry MAC address 0211 other engineering and technologies 02 engineering and technology Computer security computer.software_genre MAC randomization Set (abstract data type) 020204 information systems 0202 electrical engineering electronic engineering information engineering People counter Privacy in IoT Device tracking State (computer science) Internet of Things business computer |
Zdroj: | ARES |
DOI: | 10.1145/3407023.3409195 |
Popis: | As evident from an in-depth analysis of the state of the art concerning device tracking through Wi-Fi probes and MAC addresses, these techniques represent an increasingly relevant privacy threat. In this paper we provide design and implementation details of a low-cost and low-power people counter based on the Espressif ESP8266 board, and we explicitly analyze the overall cost of the introduced solution. The proposed device can gather MAC addresses from Wi-Fi packets and is designed to circumvent MAC address randomization, as we demonstrate through practical experiments. Our study also shows that, as IoT devices and components are less and less expensive, even a single person could set up a personal people counting systems to be maliciously installed in urban areas or indoor environments. |
Databáze: | OpenAIRE |
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