MARATTO

article

A survey on Machine Learning for IoT Trust Management

20232 citationsIbn Tofail University

Abstract

In this paper, we offer an overview of research on machine learning for managing trust in IoT. Our focus is on providing background information on trust management and machine learning, exploring various ML methods used for trust management in IoT, trust expression, and performance evaluation techniques. We also highlight the challenges involved in deploying ML-based trust management solutions in IoT environments.

Research topics

  • Access Control and Trust
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1109/gcaiot61060.2023.10385118

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.