Modern automated control systems leverage significantly different and disparate data sets for modeling and decision-making. Yet, dynamic human presence detection and identification is not widely used in these systems despite the enriching effect such information would have. We behave in unpredictable ways and are not easily identifiable by computers. This paper outlines a method for reliably and passively detecting presence of a person and identifying that person by exploiting existing ubiquitous infrastructure: Wi-Fi networks and that persons Wi-Fi enabled smartphone without installing any additional software. We further enumerate several applications ranging from home security to energy efficiencies. We explore the security and moral implications of automated person tracking as well as suggest reasonable mitigation measures.
Jordan, Paul L. and Sellers, Andrew J.
"Reliable Presence Detection through Passive IEEE 802.11 Management Frame Sniffing,"
Military Cyber Affairs: Vol. 1
, Article 5.
Available at: https://scholarcommons.usf.edu/mca/vol1/iss1/5