The next generation 6G era is considered to be highly coupled with intelligent network management and orchestration, while 5G is completely renowned for micro-service architecture-based network cloudification. 6G has been revolutionized for satisfying the mandatory services and carry forwarding the potentialities of 5G to superior and intelligent level. 6G network structure is determined to be dynamic, densely deployed and extremely heterogeneous, and when integrated with a high degree of Quality of Service (QoS) completely transforms the complex architecture into a seamless operating process of classical networks. The immense role of Artificial Intelligence (AI) and Machine Learning (ML) is required for improving the paradigm of 6G for learning information from uncertain and dynamic environments. This integration of AI and 6G resembles a double-edged sword since the application of AI may positively influences the privacy or security of 6G on one side, and negatively introduces the possibility of security infringement into 6G on the other side. In specific, the self-sustaining networks in 6G are obtained by guaranteed application of intelligent security attack mitigation schemes and proactive threat discovery approaches that facilitate end-to-end future network automation. In this Chapter, a comprehensive review of AI and ML-based security enforcement techniques are contributed for improving reliability during robust data dissemination in 6G communications. It presents consolidated and solidified role of AI and ML towards the enforcement of security in 6G networks. In addition, it also demonstrates the challenges and solutions that are handled by the inclusion of AI and ML-based attack mitigation approaches concerning energy and security-based ultra-massive access.
TopIntroduction
As 5G is used everywhere, efforts are made to look beyond 5G and conceptualize 6G. Academia and industry are expecting a more established cellular communiqué technique like 6G that is anticipated to offer better data rates of up to 1 Tb/s and frequency bands of about 100 GHz to 3 THz. 6G is the next-generation technology that supports communication (Yang et al., 2019). 6G covers a range of full spectrums (sub-6GHz, THz, visible light, mmWave), provides universal coverage (aerial, space, land and sea) and complete application (AI, ML, big data) (Saad et al., 2019). The peak data rate is around 1 Tb/s, latency is around 10-100 μs, mobility is greater than 1000 km/h, data rate around 1 Gb/s, energy efficacy around 100 times of 5G, connectivity supporting 107 devices/km2, the traffic volume of about 1 Gb/s/m2 and spectrum efficacy is 5 to 10 times better than 5G (Tariq et al., 2020, Ylianttila et al., 2020).
Moreover, with the substantial advancement of key communication factors, Artificial Intelligence (AI) is intended to be the most significant feature of 6G as the advanced Machine Learning (ML) technique is approved to be the best solution in many extreme scenarios (De Lima et al., 2021; Lu, 2020). ML is essential in 6G to offer infinite expediency in the future (Siriwardhana et al., 2021).
Network intelligentization focuses on the challenges of the rapidly increasing amount of associated heterogeneous devices. In contrast to the application of ML in diverse fields like games and smart networking, dealing with automatically organized cellular communication systems remains a challenge. Communication systems, ML architectures and computation efficacy are to be focused on the effective use of ML-based techniques in 6G. Smart 6G network develops as a progressing area of research. It is expected to experience an extraordinary conversion, making it considerably dissimilar from the former generations of wireless technologies (Guo, 2020). It is certain that 6G will go far beyond mobile Internet and will be capable of offering ubiquitous services to the devices in the network. 6G systems serve a huge variety of applications in varied situations which are defined in 5G. Furthermore, with the increase in the number of smart homes, cities, society and buildings, it is capable of meeting the demands of Human-to-Machine (H2M) and Machine-to-Machine (M2M) communications, particularly with the growth of robotic and drone systems. Though 6G is capable of providing several services, it is demanding to sustain consistency and satisfying user experience in complex and active network environments. Moreover present reactive management of QoS on QoE, awareness of proactive management based user behavior and network status, and upcoming demand forecast is the predominant factors to be focused on.
Research says that, by 2030, information society will be extremely digitized, intelligence stimulated and universally data-focused, assisted by near-instant and unconstrained wireless connectivity. 6G will enable this to happen by connecting everything, providing full-dimensional wireless connectivity and integrating functions that comprise detecting, communication, computing, storing, controlling, positioning, radar, navigating and imaging to provision complete-vertical applications. 6G will transform the wireless progress from ‘connected things’ to ‘connected intelligence’ with severe needs. The design is intrinsically personalized to meet the performance demands of the Internet of Everything (IoE) applications and their associated technological trends. 6G is anticipated to provide unparalleled IoE scenarios with tremendously different and challenging demands. For IoE, 6G seems to be an ultra-dense network with better flexibility by precisely integrating various techniques to instantaneously satisfy several service needs. Furthermore, 6G networks are decentralized and are based on the incorporation of terrestrial communication, aerial network and satellite system to handle emerging and instantly desirable services, and to comprehend global coverage and strict seamless admittance. It will serve as an autonomous ecosystem incorporating intelligence and perception like humans. It will grow from human-based to equally human and machine-based and will offer diverse ways like communication and interaction with smart terminals through fingers, voice, eyes and even brain waves.