Abstract
Techniques described herein provide for an enhanced risk-based authentication method that greatly improves the quality of identifying the Wi-Fi identity associated with a remote worker and significantly reduces necessity of multiple multifactor authentication attempts. Techniques described herein support enhanced Wi-Fi-based user identification while still maintaining compliance with user privacy by not collecting user location information. Techniques described herein enhance Wi-Fi fingerprinting solutions by using unique physical layer signatures to curtail false positives and improve accuracy for detection of device identities.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
S Desai, Vishal; Miel, Shayne; Alizadeh, Ardalan; and Nagarajan, Akshaya, "ENHANCED WI-FI FINGERPRINTING FOR SECURITY", Technical Disclosure Commons, (August 01, 2023)
https://www.tdcommons.org/dpubs_series/6096