Analyzing Decentralized Cybersecurity Mesh (DCSM) in Securing Internet of Vehicles (IoV)

Abstract

Decentralized Cybersecurity Mesh Architecture (DCSMA) is a new cybersecurity architecture designed to secure distributed networks, particularly Internet of Things (IoT) environments. Unlike traditional approaches that rely on centralized control or isolated security silos, it leverages blockchain technology to enable fully decentralized security management, eliminating single points of failure and improving coordination among security components. In this paper, a practical implementation of DCSMA is presented and evaluated in an Internet of Vehicles (IoV) environment. The system is developed using a hybrid simulation framework that combines Carla for IoV scenarios and Ganache for blockchain emulation. It integrates key technologies, including Decentralized Identity (DID), Secure Multi-Party Computation (SMPC), smart contracts, and Event-Driven Architecture (EDA), to support secure communication and distributed policy enforcement. The proposed system is evaluated through multiple case studies covering data protection, communication and policy enforcement, and threat detection. Performance is analyzed using metrics such as latency, memory consumption, scalability, throughput, and transaction success rate, in addition to machine learning-based anomaly detection. The results demonstrate that the proposed implementation achieves efficient decentralized security with low overhead and effective threat detection, highlighting its suitability as a scalable and resilient cybersecurity solution for IoV and distributed IoT systems.