Statistical Approach to Estimating Audience from MAC-Randomized WiFi Probe Requests.
Sensors (Basel)
; 22(22)2022 Nov 10.
Article
in English
| MEDLINE | ID: covidwho-2143487
ABSTRACT
In the past few years, the ability of wireless network operators to monitor audience using control frames emitted by client devices has been compromised, both by legislation treating client MAC addresses as private information and by the difficulty of distinguishing genuine client frames from those arising from the Internet of Things or from certain enhanced services. Here, a deterministic model, based on characteristics of human activity and on seasonal trends, is used to reveal underlying client statistics in raw MAC-randomized WiFi Probe Request data. The method proposes a candidate conversion factor, X, between probe request counts and the client population, which offers plausible predictions on real-world datasets.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Experimental Studies
/
Prognostic study
/
Randomized controlled trials
Language:
English
Year:
2022
Document Type:
Article
Affiliation country:
S22228679
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