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Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways.

Xuan-Ha Nguyen1,2, Xuan-Duong Nguyen3,2, Hoang-Hai Huynh1,2

  • 1Faculty of Computer Networks and Communications, University of Information Technology, Ho Chi Minh City 70000, Vietnam.

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Summary

Realguard is a novel deep neural network-based intrusion detection system for Internet of Things (IoT) gateways. It accurately detects multiple cyber attacks in real time with a small computational footprint on resource-constrained devices.

Keywords:
IoT gatewaysdeep neural networknetwork intrusion detection system

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • The proliferation of Internet of Things (IoT) devices has led to significant cybersecurity challenges due to their inherent security flaws and limited defense mechanisms.
  • Existing IoT gateways often lack robust security features, particularly deep learning-powered intrusion detection systems, due to high computational requirements.

Purpose of the Study:

  • To introduce Realguard, a deep neural network (DNN)-based network intrusion detection system (NIDS) designed for direct operation on local IoT gateways.
  • To provide real-time, accurate detection of multiple cyber attacks with a minimal computational footprint, addressing the limitations of current IoT security solutions.

Main Methods:

  • Developed a lightweight feature extraction mechanism tailored for resource-constrained environments.
  • Implemented an efficient deep neural network model for attack detection directly on IoT gateways.
  • Evaluated Realguard's performance on practical datasets, including common IoT cyber threats.

Main Results:

  • Realguard accurately detected ten types of cyber attacks, including port scans and Botnet, with an average accuracy of 99.57%.
  • Achieved a superior detection rate compared to competitors, whose best performance was 98.85%.
  • Demonstrated efficient operation on resource-constrained gateways like Raspberry Pi, processing approximately 10,600 packets per second.

Conclusions:

  • Realguard offers a highly effective and efficient solution for real-time network intrusion detection in IoT environments.
  • The system's lightweight design and high accuracy make it suitable for deployment on resource-constrained IoT gateways, significantly enhancing IoT security.
  • Realguard successfully addresses the computational challenges of implementing deep learning-based security on edge devices.