تجاوز إلى المحتوى الرئيسي

Securing the Road Ahead: A Survey on Internet of Vehicles Security Powered by a Conceptual Blockchain-Based Intrusion Detection System for Smart Cities

Author name : THANAA SALEM AHMED ALNUSAIRI
Publication Date : 2025-10-12
Journal Name : Transactions on Emerging Telecommunications Technologies

Abstract

The Internet of Vehicles (IoV) is a critical component of the smart city. Various nodes exchange sensitive data for urban mobility,
such as identification, position, messages, speed, and traffic statistics. Along with developing smart cities come threats to privacy
and security through networks. Security is of the highest priority, considering various security-privacy risks from the wellness,
safety, and confidentiality of men and women inside the vehicle. This survey presents a detailed analysis of state-of-the-art and
evolving security challenges to IoV systems. It handles security challenges, such as data integrity and privacy. It also includes
a critical review of the literature to identify gaps in current security mechanisms. It uses complete mathematical modeling and
case studies to show the practical effectiveness of the proposed solutions. It aims to guide future development and implementation of more secure, efficient, and resilient IoV systems, particularly in smart city environments. It also introduces a novel
Intrusion Detection System (IDS) with Artificial Intelligence (AI), smart contracts, and blockchain technology. These smart contracts ensure instant security with the utmost level of vulnerability through blockchain technology. In addition, we proposed a
hybrid multi-layered framework using Fog to conserve the resources at the vehicle level. We used mathematical proof to assess
this framework. Merging blockchain, smart contracts, and AI into IoVs could increase human security by removing significant
vulnerabilities

Keywords

artificial intelligence | blockchain | internet of vehicles | intrusion detection systems | smart cities | smart contracts

Publication Link

https://doi.org/10.1002/ett.70133

Block_researches_list_suggestions

Suggestions to read

Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
CID-RPL: Clone ID Attack detection using Deep Neural Network for RPL-based IoT Networks
THANAA SALEM AHMED ALNUSAIRI
تواصل معنا