Investigating Wireless RSSI as a Secondary Authentication Method in Smartphones

This paper presents a preliminary exploration of utilizing the wireless received signal strength indicator (RSSI) as a secondary authentication method in smartphones. We propose AuthRSSI - a gesture based authentication system that uses the RSSI measurements from a smartphone connected to an indoor wireless network to identify a pre-determined user pattern. The key idea is that users will create a pattern in the air using a smart-phone, and the changes in the wireless channel can be analyzed to authenticate the user. AuthRSSI will serve as an important component in a proposed larger multi-sensory authentication system that combines the RSSI, Channel State Information (CSI) as well as built-in motion sensors in the smartphone like the accelerometer and gyroscope to accurately classify personalized user patterns and serve as a secondary authentication system that is complementary to existing methods in use today. Our findings demonstrate a strong correlation between RSSI measurements and user device movement, particularly in scenarios with a clear line-of-sight path.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/istas61960.2024.10732584
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Investigating Wireless RSSI as a Secondary Authentication Method in Smartphones

Avishek Mukherjee, Siona Beaudoin
User Authentication and Security Systems
article

Investigating Wireless RSSI as a Secondary Authentication Method in Smartphones

Avishek Mukherjee, Siona Beaudoin
article en

Abstract

This paper presents a preliminary exploration of utilizing the wireless received signal strength indicator (RSSI) as a secondary authentication method in smartphones. We propose AuthRSSI - a gesture based authentication system that uses the RSSI measurements from a smartphone connected to an indoor wireless network to identify a pre-determined user pattern. The key idea is that users will create a pattern in the air using a smart-phone, and the changes in the wireless channel can be analyzed to authenticate the user. AuthRSSI will serve as an important component in a proposed larger multi-sensory authentication system that combines the RSSI, Channel State Information (CSI) as well as built-in motion sensors in the smartphone like the accelerometer and gyroscope to accurately classify personalized user patterns and serve as a secondary authentication system that is complementary to existing methods in use today. Our findings demonstrate a strong correlation between RSSI measurements and user device movement, particularly in scenarios with a clear line-of-sight path.

Saginaw Valley State University (US)
National Aeronautics and Space Administration
Openalex Percentile: Top 71%
User Authentication and Security Systems
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Investigating Wireless RSSI as a Secondary Authentication Method in Smartphones — Avishek Mukherjee, Siona Beaudoin · (2024) | TGRS Research Map | TGRS