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Security Architecture for Defining and Enforcing Security Profiles in DLT/SDN-Based IoT Systems.

Sara N Matheu1, Alberto Robles Enciso1, Alejandro Molina Zarca1

  • 1Department of Information and Communications Engineering, University of Murcia, 30100 Murcia, Spain.

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Summary

This study enhances Internet of Things (IoT) security by using Manufacturer Usage Description (MUD) to restrict device communication. The new method improves data privacy and network protection during device bootstrapping.

Keywords:
MUDSDNblockchaininternet of thingssecuritysecurity policies

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Internet of Things (IoT) devices face increasing cyber threats due to extensive data and connectivity.
  • The Manufacturer Usage Description (MUD) standard offers a solution by defining network access control policies during manufacturing.
  • Existing MUD implementations require enhancement to cover broader security aspects.

Purpose of the Study:

  • To propose an architecture and process for obtaining and enforcing MUD restrictions during device bootstrapping.
  • To extend the MUD model with a flexible policy language for data privacy, channel protection, and resource authorization.
  • To leverage Software Defined Networking (SDN) and attribute-based access control for robust IoT security.

Main Methods:

  • Defined an architecture and process for MUD policy enforcement during device bootstrapping.
  • Extended the MUD model with a flexible policy language for enhanced security attributes.
  • Utilized Software Defined Networking (SDN) and attribute-based access control (ABAC) with encryption.
  • Integrated a blockchain platform for secure data sharing among devices.

Main Results:

  • Successfully implemented and evaluated an architecture for MUD-based IoT security in a real-world scenario.
  • Demonstrated the reduction of the attack surface in IoT deployments by restricting device communications.
  • Showcased improved data privacy, channel protection, and resource authorization through the extended MUD model.

Conclusions:

  • The proposed approach effectively enhances IoT security by enforcing MUD restrictions early in the device lifecycle.
  • The integration of SDN, ABAC, and blockchain provides a comprehensive solution for securing sensitive IoT data.
  • This method significantly reduces the vulnerability of IoT networks to cyberattacks by proactively managing device communication.