Investigating the Role of Deep Learning in Enhancing Communication Efficiency in 5G IoT Networks: A Comprehensive Survey

Abstract

This analysis primarily examines the compatibility of IoT security and DL in offering attack prevention services for IoT devices. Consequently. The field of Internet of Things (IoT) is seeing significant growth. Consequently, there is an increasing amount of data being exchanged between cloud technologies and wireless networks to ensure smooth data flow among linked devices. Simultaneously, the Internet of Things (IoT) proves to be an exceedingly susceptible ecosystem that is susceptible to a wide range of threats. These entities has the capacity to cause extensive destruction to a country and also pose the most significant immediate economic threat. This survey essay aims to thoroughly examine the integration of 5G, IoT, and security. It is crucial to prioritise the requirement for security systems. The introduction discusses the infiltration of web vulnerabilities into devices, based on the provided information about attacks and threats. Subsequently, it demonstrates the crucial requirement for efficient security protocols. Consequently, it proceeds by examining the interdependence between DL and security, highlighting the security enhancements provided by DL to IoT. This study examines several endorsements of the DL-based technique for detecting many assaults across a diverse range of IoT environments, such as DSOS, DDoS, probing, user-to-root, remote-to-local, botnet, spoofing, and man-in-the-middle attacks, among others. In addition, the work provides a comprehensive description of deep learning techniques and the difficulties that arise when integrating deep learning-based security solutions in the context of the Internet of Things (IoT). Furthermore, the effectiveness of (DL) in enhancing IoT security has been confirmed by detailed case studies and real-life experiences. The poll also conducts a thorough analysis of security requirements in 5G IoT networks, emphasising the importance of understanding the vulnerabilities that may arise during times of crisis and chaos. This survey focuses on the comprehensive analysis of the delicate relationship between IoT, DL, and security. It provides numerous options for gaining a deeper knowledge and effectively managing the difficult security challenges in the IoT ecosystem.