Note: WiFiTrace is available in two versions: python and ElasticSearch. This git repository contains the ElastiSearch version of the tool. The python version is available here github.com/umassos/wifitrace
The ElasticSearch version of WiFiTrace is under active development. Documentation for the current early release can be found at: https://docs.google.com/document/d/17c0_stgXkpNf7dOSWMNH8NESPR9_STLTJflKXtPZZJQ/edit?usp=sharing
A video demo presented at Sensys 2020 is available here: https://www.youtube.com/watch?v=If4i8JJEkZs
WiFiTrace is a network-centric contact tracing method that uses enterprise WiFi networks for contact tracing in office and campus settings. Unlike bluetooth-based methods, it does not require an app to be installed on user phones and instead uses syslog data generated by enterprise WiFi access points to trace locations within office/campus buildings that an infected user has visited. It can also report other users who were seen for a period of time near those access points.
WiFiTrace is an open-source project led by Computer Science researchers at the University of Massachusetts Amherst. The project has a website at http://wifitrace.github.io/