ArticleSensors (Basel, Switzerland)2019
A Blockchain Framework for Securing Connected and Autonomous Vehicles.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Automotive Telemetry in Connected Vehicles: A Review of 5G and Satellite Communication Technologies for Long-Range Data Transmission.Sensors (Basel, Switzerland) · 2026Review
- Scalable cooperative lane-change management for connected autonomous vehicles using MPC-based decision coordination.Scientific reports · 2026Article
- Applications of Blockchain and Smart Contracts to Address Challenges of Cooperative, Connected, and Automated Mobility.Sensors (Basel, Switzerland) · 2024Review
- Incentive Mechanism for Privacy-Preserving Collaborative Routing Using Secure Multi-Party Computation and Blockchain.Sensors (Basel, Switzerland) · 2024Article
- A Hybrid Methodology to Assess Cyber Resilience of IoT in Energy Management and Connected Sites.Sensors (Basel, Switzerland) · 2023Article
- Hash-MAC-DSDV: Mutual Authentication for Intelligent IoT-Based Cyber-Physical Systems.IEEE internet of things journal · 2022Article
- A Multi-Tier Trust-Based Security Mechanism for Vehicular Ad-Hoc Network Communications.Sensors (Basel, Switzerland) · 2022Article
- An Intelligent Automated System for Detecting Malicious Vehicles in Intelligent Transportation Systems.Sensors (Basel, Switzerland) · 2022Article
- Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey.Sensors (Basel, Switzerland) · 2022Review
- Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities.Sensors (Basel, Switzerland) · 2021Review
- A Survey on Secure Computation Based on Homomorphic Encryption in Vehicular Ad Hoc Networks.Sensors (Basel, Switzerland) · 2020Review
- Vehicular Sensor Networks: Applications, Advances and Challenges.Sensors (Basel, Switzerland) · 2020Article
- The Use of the Blockchain Technology and Digital Watermarking to Provide Data Authenticityon a Mining Enterprise.Sensors (Basel, Switzerland) · 2020Article
- Implementation of High-Performance Blockchain Network Based on Cross-Chain Technology for IoT Applications.Sensors (Basel, Switzerland) · 2020Article
- Design of Secure Protocol for Cloud-Assisted Electronic Health Record System Using Blockchain.Sensors (Basel, Switzerland) · 2020Article
- Robust Sparse Bayesian Learning-Based Off-Grid DOA Estimation Method for Vehicle Localization.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, connected vehicles (CV) are becoming a promising research area leading to the concept of CV as a Service (CVaaS). With the increase of connected vehicles and an exponential growth in the field of online cab booking services, new requirements such as secure, seamless and robust information exchange among vehicles of vehicular networks are emerging. In this context, the original concept of vehicular networks is being transformed into a new concept known as connected and autonomous vehicles. Autonomous vehicular use yields a better experience and helps in reducing congestion by allowing current information to be obtained by the vehicles instantly. However, malicious users in the internet of vehicles may mislead the whole communication where intruders may compromise smart devices with the purpose of executing a malicious ploy. In order to prevent these issues, a blockchain technique is considered the best technique that provides secrecy and protection to the control system in real time conditions. In this paper, the issue of security in smart sensors of connected vehicles that can be compromised by expert intruders is addressed by proposing a blockchain framework. This study has further identified and validated the proposed mechanism based on various security criteria, such as fake requests of the user, compromise of smart devices, probabilistic authentication scenarios and alteration in stored user's ratings. The results have been analyzed against some existing approach and validated with improved simulated results that offer 79% success rate over the above-mentioned issues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.