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Preventing MQTT Vulnerabilities Using IoT-Enabled Intrusion Detection System.

Muhammad Husnain1, Khizar Hayat1, Enrico Cambiaso2

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Summary
This summary is machine-generated.

This study introduces an MQTT parsing engine to enhance IoT security. The system validates Message Queuing Telemetry Transport packets, effectively detecting and preventing cyber-attacks on IoT devices.

Keywords:
Internet of ThingsIoT vulnerabilitiesMQTT protocolintrusion detection systemnetwork attacksnetwork firewall

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Area of Science:

  • Cybersecurity
  • Internet of Things (IoT)
  • Network Protocols

Background:

  • The proliferation of IoT devices has led to the adoption of communication protocols like Message Queuing Telemetry Transport (MQTT).
  • MQTT brokers, central to IoT applications, are susceptible to cyber-attacks due to their open nature, including Denial of Service (DoS), Distributed Denial of Service (DDoS), and buffer overflows.
  • Existing Intrusion Detection Systems (IDS) often lack support for IoT-specific protocols like MQTT and CoAP, failing to validate packet integrity for protocol implementation vulnerabilities.

Purpose of the Study:

  • To design and develop an MQTT parsing engine for integration into network-based Intrusion Detection Systems (IDS).
  • To enhance the security of MQTT-based IoT applications by validating packet fields during the parsing stage.
  • To address the gap in current IDS solutions regarding the specific vulnerabilities of IoT communication protocols.

Main Methods:

  • Development of a specialized MQTT parsing engine.
  • Integration of the parsing engine as an initial layer within a network-based IDS.
  • Rigorous validation of MQTT packet fields to detect malformed or crafted packets exploiting protocol vulnerabilities.
  • Performance evaluation of the proposed solution against various reported IoT protocol vulnerabilities.

Main Results:

  • The developed MQTT parsing engine effectively validates packet fields, identifying potential security threats.
  • The solution demonstrates significant effectiveness in detecting and preventing the exploitation of vulnerabilities within IoT protocols.
  • Experimental results confirm the proposed system's capability to enhance the security posture of MQTT-based IoT applications.

Conclusions:

  • The proposed MQTT parsing engine serves as a crucial component for securing IoT environments.
  • Integrating this engine into existing IDS provides a robust defense against protocol-specific cyber-attacks.
  • The solution contributes to a more secure IoT ecosystem by addressing critical vulnerabilities in communication protocols.