An IoT-based Two-Level Authenticated Driving System

In recent years, there has been significant growth in complex electronic computer control systems for vehicles, particularly in the development of smart cars and autonomous vehicles. The term internet of things (IoT) refers to the network of "things" in order to connect and exchange data through sensors and softwares without the need for human interaction. This paper targets the critical issue of minors and unlicensed drivers driving vehicles without permission, in order to reduce possible accidents and encourage responsible ownership of vehicles. Driving without a license endangers everyone’s safety since these drivers are ignorant of traffic regulations, safe driving practices, and the fact that they won’t have insurance. Our solution uses Radio Frequency Identification (RFID) technology and biometric fingerprint identification with cloud integration to develop a strict vehicle access control system. These technologies are integrated with an Arduino microcontroller. We have evaluated our system using different metrics like user permission simulation and security alerts. This system provides a safe and efficient way of managing vehicle access, significantly minimizing the risk, with the main aim of permitting only authorized and responsible drivers to drive the bike. This successfully stops minors from using unlawful collisions caused by unlicensed and unskilled drivers.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/ciacon65473.2025.11189487
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

An IoT-based Two-Level Authenticated Driving System

Ch. Chandra Sekhar, K. Kavitha, T. Pandu Ranga Vital, G Jagadeeswararao et al.
Vehicular Ad Hoc Networks (VANETs)
article

An IoT-based Two-Level Authenticated Driving System

Ch. Chandra Sekhar, K. Kavitha, T. Pandu Ranga Vital, G Jagadeeswararao, Ramalakshmi Vemala, Siddardha Marpu
article en

Abstract

In recent years, there has been significant growth in complex electronic computer control systems for vehicles, particularly in the development of smart cars and autonomous vehicles. The term internet of things (IoT) refers to the network of "things" in order to connect and exchange data through sensors and softwares without the need for human interaction. This paper targets the critical issue of minors and unlicensed drivers driving vehicles without permission, in order to reduce possible accidents and encourage responsible ownership of vehicles. Driving without a license endangers everyone’s safety since these drivers are ignorant of traffic regulations, safe driving practices, and the fact that they won’t have insurance. Our solution uses Radio Frequency Identification (RFID) technology and biometric fingerprint identification with cloud integration to develop a strict vehicle access control system. These technologies are integrated with an Arduino microcontroller. We have evaluated our system using different metrics like user permission simulation and security alerts. This system provides a safe and efficient way of managing vehicle access, significantly minimizing the risk, with the main aim of permitting only authorized and responsible drivers to drive the bike. This successfully stops minors from using unlawful collisions caused by unlicensed and unskilled drivers.

Aditya Birla (India) (IN), Hindu College of Pharmacy (IN), GITAM University (IN)
Openalex Percentile: Top 72%
Vehicular Ad Hoc Networks (VANETs)
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