Trust-Based Smart Contract for Automated Agent to Agent Communication

Area of Science:

• Computer Science
• Information Security
• Network Engineering

Background:

• Internet of Vehicles (IoV) generates vast amounts of autonomous data requiring secure and decentralized management.
• Existing IoV systems face challenges in decentralization, automation, security, and trust management due to reliance on central authorities.
• Blockchain technology offers inherent security, transparency, and decentralization, making it suitable for addressing IoV data challenges.

Purpose of the Study:

• To propose an integrated blockchain and multi-agent system solution for secure data exchange in the Internet of Vehicles (IoV).
• To leverage smart contracts for implementing robust access control mechanisms in the IoV environment.
• To eliminate the need for a central authority (CA) in IoV data management, thereby reducing costs and enhancing security.

Main Methods:

• Integration of blockchain technology with multi-agent systems for IoV data management.
• Implementation of smart contracts to enforce access control policies.
• Exploitation of Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) techniques within the smart contract framework.
• Removal of the central authority (CA) to decentralize system control.

Main Results:

• The developed platform demonstrates enhanced security, availability, and privacy for IoV data.
• Consumption costs were analyzed, indicating the efficiency of the proposed decentralized solution.
• The system successfully removes the central authority, mitigating associated threats and reducing maintenance overhead.

Conclusions:

• The integration of blockchain and multi-agent systems provides a viable and secure solution for the Internet of Vehicles (IoV).
• The proposed access control mechanisms based on smart contracts effectively manage data security and privacy in a decentralized IoV ecosystem.
• The removal of central authorities leads to improved system resilience, cost-effectiveness, and trustworthiness in IoV applications.