How Machine Learning Can Secure the Internet of Things

As more and more devices rely on data sharing, the Internet of Things (IoT) is rapidly expanding. Developing strong privacy and security protocols for these systems is critical, as devices, applications, and communication networks become increasingly integrated. However, as these systems grow, cyber attacks on the IoT are becoming increasingly complex. These attacks often involve machine learning, earning themselves the name "smart attacks". The security solutions necessary to combat these attacks are computationally heavy and frequently involve a large communication load. Additionally, due to their relatively small computational abilities, many IoT devices are more vulnerable to attacks than computer systems.