Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

731
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
731
Machines: Problem Solving II01:30

Machines: Problem Solving II

367
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
367
Transmission Shafts: Problem Solving01:09

Transmission Shafts: Problem Solving

291
Designing a solid shaft that transmits power from a motor to a machine tool involves a series of calculations to ensure the shaft can withstand the stresses applied by bending moments and torques. First, calculate the torque exerted on the gear, considering the power transmitted by the shaft and its rotational speed. Following this, compute the tangential forces acting on the gears, which directly relate to the torque and the gear radius.
Next, use bending moment diagrams for the shaft to...
291
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

451
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
451
Machines: Problem Solving I01:22

Machines: Problem Solving I

408
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
408

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats.

Sensors (Basel, Switzerland)·2025
Same author

FL-TENB4: A Federated-Learning-Enhanced Tiny EfficientNetB4-Lite Approach for Deepfake Detection in CCTV Environments.

Sensors (Basel, Switzerland)·2025
Same author

Secure and Reliable Big-Data-Based Decision Making Using Quantum Approach in IIoT Systems.

Sensors (Basel, Switzerland)·2023
Same author

A Blockchain-Enabled Secure Digital Twin Framework for Early Botnet Detection in IIoT Environment.

Sensors (Basel, Switzerland)·2022
Same author

Blockchain-Based Distributed Information Hiding Framework for Data Privacy Preserving in Medical Supply Chain Systems.

Sensors (Basel, Switzerland)·2022
Same author

Development of A Textile Capacitive Proximity Sensor and Gait Monitoring System for Smart Healthcare.

Journal of medical systems·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 11, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

847

Machine Learning-Based Blockchain Technology for Secure V2X Communication: Open Challenges and Solutions.

Yonas Teweldemedhin Gebrezgiher1, Sekione Reward Jeremiah2, Xianjun Deng3

  • 1Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
Summary
This summary is machine-generated.

Securing connected and autonomous vehicles (CAVs) requires robust solutions for vehicle-to-everything (V2X) communications. This survey explores machine learning, blockchain, and edge computing to enhance V2X security against cyber threats.

Keywords:
V2X securityblockchainmachine learningmulti-access edge computing

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

659
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K

Related Experiment Videos

Last Updated: Sep 11, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

847
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

659
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K

Area of Science:

  • Cybersecurity
  • Intelligent Transportation Systems
  • Network Communications

Background:

  • Vehicle-to-everything (V2X) communication is crucial for connected and autonomous vehicles (CAVs), improving safety and efficiency.
  • V2X networks face significant cybersecurity threats from adversarial attacks, impacting CAV security and privacy.
  • Existing security measures struggle with the dynamic nature of vehicular networks and real-time processing demands.

Purpose of the Study:

  • To survey and analyze current security challenges in V2X communications for CAVs.
  • To assess the effectiveness of machine learning (ML) and blockchain-based solutions in addressing these challenges.
  • To identify gaps and opportunities for improving V2X security, particularly through integrated approaches.

Main Methods:

  • Comprehensive literature review of V2X security, focusing on ML, blockchain, and multi-access edge computing (MEC).
  • Analysis of existing studies integrating ML, blockchain, and MEC for V2X security.
  • Development of a conceptual framework synergizing ML, blockchain, and MEC for enhanced V2X security.

Main Results:

  • Current ML and blockchain solutions for V2X security present significant gaps and require further improvement.
  • Integration of ML, blockchain, and MEC shows potential for low-latency, robust, and dynamic security in V2X networks.
  • The proposed conceptual framework highlights possibilities for real-time anomaly detection, decentralized data sharing, and scalability.

Conclusions:

  • A synergistic approach combining ML, blockchain, and MEC offers a promising direction for securing V2X communications.
  • Further research is needed to address remaining challenges and evolving threats in V2X security.
  • The integrated framework can enhance the security, scalability, and real-time capabilities of intelligent transportation systems.