IoT SECURITY: AUTHENTICATION, PRIVACY, AND MODERN PROTOCOLS

Abstract

This article analyzes the role of artificial intelligence (AI) technologies in ensuring the security of the Internet of Things (IoT). The widespread use of IoT devices increases their vulnerability to cybersecurity threats. The study examines key issues such as authentication, data privacy, and network security, and examines the potential for AI-based threat detection, security monitoring automation, and adaptive cryptographic protocols to address them. The effectiveness of traditional security approaches and modern AI-based methods is compared. The results of the study show that AI-enhanced security mechanisms can significantly increase the ability to detect and eliminate threats in real-time in the IoT environment. Current limitations of AI-based security approaches and recommendations for future technological improvements are provided.