6G is the next generation for the communication systems. In recent years, machine learning algorithms have been applied widely in various fields such as health, transportation, and the autonomous car. The predictive algorithms will be used in 6G problems. With the rapid developments of deep learning techniques, it is critical to take the security concern into account to apply the algorithms. While machine learning offers significant advantages for 6G, AI models’ security is ignored. Since it has many applications in the real world, security is a vital part of the algorithms. This post has proposed a mitigation method for adversarial attacks against 6G machine learning models with adversarial learning. The main idea behind adversarial attacks against machine learning models is to produce faulty results by manipulating trained deep learning models for 6G applications.

#cybersecurity #6g #5g #artificial-intelligence #deep-learning