Edge Multi-agent Intrusion Detection System Architecture for IoT Devices with Cloud Continuum

Funchal, Gustavo Silva; Pedrosa, Tiago; Prieta Pintado, Fernando De la; Leitão, Paulo

http://hdl.handle.net/10198/30069

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Authors

Funchal, Gustavo Silva

Pedrosa, Tiago

Prieta Pintado, Fernando De la

Leitão, Paulo

Abstract(s)

The Industry 4.0 has brought significant changes in production processes and business models worldwide. Advanced technologies, e.g., Collaborative Robotics, Artificial Intelligence, Cloud Computing, and Internet of Things (IoT) are playing a crucial role in improving efficiency and productivity. However, the adoption of these technologies, particularly IoT, introduces security vulnerabilities and potential attacks due to inadequate security measures. This paper addresses the need for dedicated cybersecurity mechanisms and secure device design in IoT networks, particularly emphasizing the challenges faced in implementing Intrusion Detection Systems (IDS) on resourceconstrained IoT edge devices, limiting the use of traditional machine learning based detection methods. Moreover, the limited computational resources of IoT devices require lightweight techniques that have low power requirements but can accurately detect anomalies in the network. To tackle these challenges, a novel multi-agent based architecture is proposed, considering the distribution of nodes along the edge-cloud continuum, and enabling the collaboration among different processes to detect anomalies during attacks. The proposed architecture is evaluated at the edge level using the CICIoT2023 dataset. The results demonstrate the feasibility of using multi-agent systems for a collaborative detection of IoT attacks, contributing to enhance the security of IoT-based systems against cyber threats in Industry 4.0 environments by leveraging lightweight techniques.

Keywords

Intrusion Detection Systems Multi-agent Systems Internet of Things Machine Learning

URI

http://hdl.handle.net/10198/30069

Citation

Funchal, Gustavo; Pedrosa, Tiago; Prieta, Fernando de la; Leitao, Paulo (2024). Edge Multi-agent Intrusion Detection System Architecture for IoT Devices with Cloud Continuum. In 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, p. 1-6. ISBN 979-8-3503-6301-2