Secure Vehicle Tracking Using Blockchain and IoV

Vehicle tracking has become a mandatory feature in modern mobility. Nonetheless, the ownership and licensing rights of tracking data are mostly unclear or beyond the authority of the vehicle owners. This paper proposed a self-managed blockchain-driven vehicle tracking that considers the owner as the central actor who owns and authorizes vehicle trajectory data. We use data partitioning schema to encrypt vehicle trajectory data and store them in distributed storage. The implementation takes the form of a system service run within the Internet-on-Vehicle (IoV) system. The proposed method is secure against brute-force attacks since each data partition has its unique password. In addition, the encryption schema enables a flexible licensing authority for the owner without sharing the entire trajectory data. The proposed method is affordable requiring only 328 hex digits per transaction that result in 0.5 and 3 USD monthly fee for hourly recap using Celo and Polygon networks.

Authors

Institutions

Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1109/icsmech62936.2024.10812292
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Secure Vehicle Tracking Using Blockchain and IoV

Akbari Indra Basuki, Taufik Iqbal Ramdhani, Taufik Ibnu Salim, Arief Indriarto Haris et al.
IoT and GPS-based Vehicle Safety Systems
article

Secure Vehicle Tracking Using Blockchain and IoV

Akbari Indra Basuki, Taufik Iqbal Ramdhani, Taufik Ibnu Salim, Arief Indriarto Haris, Muhammad Fajar Sidiq, Ibrahim Danial Bisulthon
article en

Abstract

Vehicle tracking has become a mandatory feature in modern mobility. Nonetheless, the ownership and licensing rights of tracking data are mostly unclear or beyond the authority of the vehicle owners. This paper proposed a self-managed blockchain-driven vehicle tracking that considers the owner as the central actor who owns and authorizes vehicle trajectory data. We use data partitioning schema to encrypt vehicle trajectory data and store them in distributed storage. The implementation takes the form of a system service run within the Internet-on-Vehicle (IoV) system. The proposed method is secure against brute-force attacks since each data partition has its unique password. In addition, the encryption schema enables a flexible licensing authority for the owner without sharing the entire trajectory data. The proposed method is affordable requiring only 328 hex digits per transaction that result in 0.5 and 3 USD monthly fee for hourly recap using Celo and Polygon networks.

Indonesia University of Education (ID), Institut Teknologi Telkom Purwokerto (ID)
Openalex Percentile: Top 75%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.