Revolutionizing IoT Security in the 5G Era with the Rise of AI-Powered Cybersecurity Solutions

Abstract

This study involves a detailed analysis of how AI can be employed in improving IoT security. However, with the surge of IoT, these systems which require device data interchange through cloud and wireless connections have become vulnerable to various types of cyber threats. Storms, hacking attempts and similar contingencies create high risks, financial losses and even the impact on people. This survey investigates IoT, and 5G Technology along with Cybersecurity in terms of new emerging issues and challenges and states the necessity of strong security measures. From the case of the IoT environment, the paper explores the following cyberattacks; DDoS, probing, U2R, R2L, botnet, spoofing, and MITM attacks. It assesses Artificial Intelligence-based approaches such as ML and DL that enhance IoT security by identifying, responding, and blocking these threats. Further, this survey discusses the issues related to deploying AI-based security solutions in the IoT context, and the particular focus is made on aspects such as scalability, real-time reconfigurability, and privacy concerns. Real-life cases as well as research findings are provided to support the readiness of AI in protecting IoT environments. This paper also discusses the 5GIoT network security requirements and concerns identifying new methodologies for preventing new security threats in this advanced network. This survey provides a complex picture of the interconnection between IoT, AI, and cybersecurity to help researchers and practitioners design novel complex security solutions for the newest IoT systems.