• clustering probe requests
• mac address derandomization alghoritms
• privacy

The proliferation of Wi-Fi devices has triggered the emergence of privacy concerns linked to
MAC Address-based systems used for people tracking and localization across various
applications (e.g., smart cities, intelligent transportation systems, marketing, etc.). These systems
have underscored the need for mobile device manufacturers to develop Randomized And
Changing MAC address (RCM) techniques as a countermeasure for device identification.
Concurrently, derandomization techniques have emerged to counteract RCM defense
mechanisms. The goal of the thesis is to study new MAC address derandomization algorithms
able to classify the frames (Probe Request or Data Frame) generated by the same physical device.