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By dissecting encrypted wireless network traffic, researchers can uncover the physical layout and device locations within a smart home, presenting significant privacy concerns.

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SmartHumanTracker

Description

This article embarks on a technical journey, unraveling the sophisticated techniques of reverse-engineering used to decipher the physical configurations of smart homes. By dissecting encrypted wireless network traffic, researchers can uncover the physical layout and device locations within a smart home, presenting significant privacy concerns.

Installation

Usage

TODO

  • Automatize configuration of the tracker
  • Distributed version
  • Android version
  • Container version

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By dissecting encrypted wireless network traffic, researchers can uncover the physical layout and device locations within a smart home, presenting significant privacy concerns.

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  • Python 99.7%
  • Makefile 0.3%