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

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...
Methods of Medium Optimization01:28

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
Optimization Problems01:26

Optimization Problems

Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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...
Impression Management Techniques III: Aligning Actions01:29

Impression Management Techniques III: Aligning Actions

Aligning actions are communicative strategies individuals employ to maintain social harmony and preserve personal identity in the face of potential disruptions to social norms. These actions are particularly important in managing social impressions when one's behavior might be seen as inappropriate, incompetent, or morally questionable.Types of Aligning ActionsThe three principal types of aligning actions are disclaimers, accounts, and apologies.DisclaimersDisclaimers are preventive; they are...
Ethical Dilemmas II01:30

Ethical Dilemmas II

Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:

You might also read

Related Articles

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

Sort by
Same journal

Serum vitamin D level and its association with vertigo frequency and severity in Meniere disease.

Scientific reports·2026
Same journal

PFA-Net: a physics-informed feature enhancement and attention network for interpretable bearing fault diagnosis under strong noise.

Scientific reports·2026
Same journal

Circulating inflammatory, redox, and apoptosis-related alterations in drug-naive idiopathic pulmonary fibrosis: an exploratory case-control study.

Scientific reports·2026
Same journal

A baseline-oriented dynamic aggregation approach for demand-side heterogeneous controllable resources.

Scientific reports·2026
Same journal

Temporal precision and accuracy in schizophrenia: an exploratory study.

Scientific reports·2026
Same journal

Prefrontal EEG spectral and nonlinear signatures of subthreshold depression during resting state and affectively valenced picture/video viewing: a participant-level analysis.

Scientific reports·2026
See all related articles

Related Experiment Videos

Adaptive Blockchain-Oriented Trust Management in IoV using Proximal Policy Optimization.

S Francis Shamili1, R Gopi2

  • 1Faculty of Computer Science & Engineering, Dhanalakshmi Srinivasan Engineering College, Perambalur, TamilNadu, India.

Scientific Reports
|July 3, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an Adaptive Blockchain-Oriented Trust Management (ABTM) architecture using Proximal Policy Optimization (PPO) for secure Internet of Vehicles (IoV) communication. The system enhances trust assessment and malicious node detection in dynamic vehicular networks.

Keywords:
BlockchainInternet of vehiclesProximal Policy OptimizationReinforcement learningTrust managementVehicular security

Related Experiment Videos

Area of Science:

  • Intelligent Transport Systems
  • Cybersecurity
  • Distributed Ledger Technology

Background:

  • The Internet of Vehicles (IoV) enables real-time connectivity for intelligent transport systems, but dynamic environments pose challenges for secure communication, cooperative routing, and vehicle coordination.
  • Existing trust management approaches in IoV, such as static scoring or traditional machine learning, fail due to dynamic topology changes, malicious node insertions, and complex vehicle interactions.
  • This failure impairs adaptive and secure trust assessment in decentralized IoV ecosystems.

Purpose of the Study:

  • To propose and evaluate an Adaptive Blockchain-Oriented Trust Management architecture with Proximal Policy Optimization (ABTM-PPO) designed to address the limitations of current trust management systems in dynamic IoV environments.
  • To enhance the security, robustness, and adaptability of trust assessment mechanisms within vehicular networks.
  • To improve the resilience of IoV systems against malicious activities and dynamic network changes.

Main Methods:

  • The proposed ABTM-PPO architecture utilizes a dynamic trust state encoder (DTSE) to process vehicle data streams, capturing temporal patterns, node behaviors, and communication needs.
  • A blockchain-validated reputation consensus module (BRCM) ensures data integrity and prevents manipulation by maintaining trust information on an immutable distributed ledger.
  • Proximal Policy Optimization (PPO)-driven adaptive trust optimization engines (PATOEs) dynamically adjust trust rules based on network conditions and adversarial situations using reinforcement learning.

Main Results:

  • The ABTM-PPO system demonstrated superior performance compared to baseline trust assessment methods across various traffic volumes and coordinated attacks.
  • Achieved high accuracy rates, with 97.1% for malicious node detection and 98.4% for trust classification.
  • Significantly reduced decision reaction time by 21.6% in high-mobility, dense communication scenarios while maintaining overall performance.

Conclusions:

  • The developed trust-aware security management system is scalable and robust, offering a viable solution for next-generation intelligent vehicular networks.
  • The integration of blockchain and PPO provides an effective mechanism for adaptive and secure trust management in dynamic IoV environments.
  • The ABTM-PPO architecture successfully enhances security by improving malicious node detection and trust classification, ensuring reliable vehicle coordination.