Advanced Cybersecurity and Surveillance in 5G and IoT Ecosystems

The unexpected rise of 5G and IoT technologies has changed communication networks creating unprecedented levels of connectivity. The existing security frameworks often fail to meet these threats, due in part to a lack of scalability and intelligence to address the issues in the 5G-IoT ecosystems. Frequently, key areas of real-time threat identification, device-level security, and data integrity are neglected. The proposed chapter addresses these gaps by applying advanced cybersecurity and surveillance technologies to 5G and IoT environments. Our intention is for these technologies to incorporate machine learning, real-time analyzed, and blockchain, in our efforts to enhance current surveillance systems and improve current cybersecurity principles and practices. AI-driven solutions would remove human dependency and provide a better level of security for IoT devices. This effort demonstrates a bridge between theoretical cybersecurity concepts and real-world applications, allowing us to move the field forward and into the important conversation of a more secure digital future.