AI-Driven Cyber Attacks and 5G Networks: The New Age of Digital Threats

AI is experiencing rapid growth across various sectors due to advancements in technology [1]. The collaboration among artificial intelligence (AI) and 5G improves communication technologies. While 5G networks continue to roll out, offering unprecedented speed, low latency, and network density, they also introduce new vulnerabilities that can be exploited by hackers. One area of concern here is the use of AI for cyber-attacks. For some years now there has been a rise in AI-driven cyber-attacks. AI-driven cyber-attacks employ artificial intelligence (AI) and machine learning (ML) algorithms to launch more sophisticated, adaptive, and automated attacks. These AI systems continuously modify their plans making it difficult for them to be detected unlike traditional forms of cyber-attacks. In this paper we will focus on 5G networks more which have become more complicated due to increasing number of connected devices as well as edge computing; they use Software-Defined Networks (SDNs) combined with Network Slicing, which makes them more vulnerable to various threats compared to earlier generations. By understanding the threats of AI defensive functions, stakeholders can better prepare for the changing cyber threat landscape in the 5G era.