ML-DDoS: A Blockchain-Based Multilevel DDoS Mitigation Mechanism for IoT Environments

Abstract

Distributed denial of service (DDoS) attacks as well as botnet-based attacks are among the most important security vulnerabilities in Internet of Things (IoT) environments. Most of the existing research approaches use centralized defense mechanisms to prevent DDoS attacks in IoT environments. However, it is important to provide a reliable and scalable solution to prevent DDoS attacks. Combining technologies such as distributed blockchain-based mechanisms and smart contracts facilitates the construction of a trusted distributed framework that can defend against DDoS attacks in IoT. In this article, we have proposed a multilevel DDoS mitigation approach (ML-DDoS) to protect IoT devices and other computing resources or machines using the blockchain-based framework. The core concept of the proposed system is to use a device-based verification mechanism using blockchain and exclude malicious devices from IoT environments. The proposed framework was developed using Hyperledger Caliper (a blockchain benchmark tool) and its performance was evaluated using three benchmark applications. Compared to the state of the art, the results show that the proposed framework achieves up to 35% improvement in throughput, up to 40% improvement in latency, and up to 25% better utilization of CPU.