Challenges and solutions on the use of Artificial Intelligence in Internet of Things network security

Abstract

The article is an analysis of how artificial intelligence can be used for the security of Internet of Thinks networks, emphasizing its use in the detection and prevention of cyber-attacks. The article focuses on new advances in the use of artificial intelligence for: anomaly detection through machine learning algorithms; automating response processes by reducing incident response time by isolating compromised devices; detecting suspicious activity by strengthening protection against attacks.