UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals

UniverSense is an emerging approach in the fieldof Internet of Things (IoT) security that enables seamless andsecure device pairing using heterogeneous sensing signals. Traditional IoT pairing methods often rely on manual authenticationtechniques such as passwords or PINs, which are vulnerableto attacks and inconvenient for users. UniverSense overcomesthese limitations by utilizing environmental context—such as motion, ambient sound, and light intensity—to automatically verifydevice proximity and generate shared cryptographic keys. Byintegrating data from multiple sensors, the system ensures robust,context-aware authentication without requiring user intervention.This paper presents a UniverSense-based IoT pairing systemthat enhances security, improves usability, and supports scalabledeployment in smart environments. The proposed system alsoaddresses challenges such as sensor variability, environmentalnoise, and computational overhead, making it a promisingsolution for next-generation IoT ecosystems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-26
DOI
https://doi.org/10.5281/zenodo.19787642
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
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article

UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals

Ameena T Razak
Zenodo (CERN European Organization for Nuclear Research)
User Authentication and Security Systems
article

UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals

Ameena T Razak
article en

Abstract

UniverSense is an emerging approach in the fieldof Internet of Things (IoT) security that enables seamless andsecure device pairing using heterogeneous sensing signals. Traditional IoT pairing methods often rely on manual authenticationtechniques such as passwords or PINs, which are vulnerableto attacks and inconvenient for users. UniverSense overcomesthese limitations by utilizing environmental context—such as motion, ambient sound, and light intensity—to automatically verifydevice proximity and generate shared cryptographic keys. Byintegrating data from multiple sensors, the system ensures robust,context-aware authentication without requiring user intervention.This paper presents a UniverSense-based IoT pairing systemthat enhances security, improves usability, and supports scalabledeployment in smart environments. The proposed system alsoaddresses challenges such as sensor variability, environmentalnoise, and computational overhead, making it a promisingsolution for next-generation IoT ecosystems.

Zenodo (CERN European Organization for Nuclear Research)
Institute of Technology of Cambodia (KH)
Openalex Percentile: Top 3%
User Authentication and Security Systems
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UniverSense: IoT Device Pairing through Heterogeneous Sensing Signals — Ameena T Razak · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS