I. Introduction

II. Review Methodology

III. 6G–IoT Intelligence: An Overview

IV. An Overview of ML-Associated and 6G-Enabled IoT Security

V. Edge Learning for Cyber Security

VI. Datasets for Edge Learning

VII. Machine Learning Vulnerabilities

VIII. Defense Methods Against Edge Learning Vulnerabilities

IX. Lessons Learned, Open Issues, and Challenges

X. Conclusions