Blockchain-based IoT security solutions for IDS research centers

Abstract

The rapid evolution of the Internet of Things (IoT) has connected real-world objects to the Internet, enhancing digital interaction and introducing critical security vulnerabilities. Intrusion Detection Systems (IDS) are essential in identifying threats and protecting Internet of Things devices from cyberattacks. A secure, decentralized platform enabled by blockchain technology offers the optimal solution for researchers worldwide to collaboratively address the challenges of IoT security effectively. This study introduces a blockchain-based IDS research center to strengthen IoT network security via global collaboration. It demonstrates the benefits of combining IDS with blockchain to improve cybersecurity in research centers, facilitating the efficient sharing of security solutions. By defining various node types on the blockchain, the platform ensures controlled access to services and streamlined network management through specific authorizations. Research centers can contribute to the blockchain with their findings, whereas others utilize the platform to access IDS services. Our work uses machine learning algorithms to achieve promising performance in detecting DDoS attacks, with the XGBoost algorithm demonstrating good results compared to the literature. The findings illustrate how effectively the presented approach works with blockchain technology and the CiCIoT2023 dataset to provide safe and decentralized information sharing.