JOURNAL ARTICLE

Secured intelligent transportation with privacy retention through blockchain framework

Gaganpreet KaurM. ShobanaF. KavinS. SellakumarV. S. MeenakshiN. Bharathiraja

Year: 2024 Journal:   Journal of Intelligent & Fuzzy Systems Vol: 46 (4)Pages: 10507-10521   Publisher: IOS Press

Abstract

The Secured Independent Intelligent Transport System (SIITS) is poised to revolutionize traditional transport management systems, leveraging autonomous vehicles (AVs) connected through an open-channel Internet to link Traffic Command Centers (TCCs), Road Side Units (RSUs), and AVs within the SIITS framework. However, this reliance on the Internet exposes users to various security risks, safety vulnerabilities, and other challenges that impede the progress of SIITS applications. In this method, ensuring robust security management and trustworthiness is paramount for the long-term adoption of this innovative trend. While previous efforts have focused on integrating security methods from multiple disciplines into a unified reference design, this article presents a reference architecture primarily centered around ITS safety. Additionally, the article introduces a proposed framework for enhancing ITS safety, addressing the confidence issues. To further address these challenges, the article offers categorization of goods, Big Data methods and services, and validates the utility of ITS business analytics for corporate applications through a groundbreaking multi-tier ITS security architecture.

Keywords:
Blockchain Computer security Intelligent transportation system Computer science Internet privacy Business Engineering Transport engineering

Metrics

4
Cited By
6.11
FWCI (Field Weighted Citation Impact)
22
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
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