Policy-Based Security Management System for 5G Heterogeneous Networks

Abstract

Advances in mobile phone technology and the growth of associated networks have been phenomenal over the last decade. Therefore, they have been the focus of much academic research, driven by commercial and end-user demands for increasingly faster technology. The most recent generation of mobile network technology is the fifth generation (5G). 5G networks are expected to launch across the world by 2020 and to work with existing 3G and 4G technologies to provide extreme speed despite being limited to wireless technologies. An alternative network, Y-Communication (Y-Comm), proposes to integrate the current wired and wireless networks, attempting to achieve the main service requirements of 5G by converging the existing networks and providing an improved service anywhere at any time. Quality of service (QoS), vertical handover, and security are some of the technical concerns resulting from this heterogeneity. In addition, it is believed that the Y-Comm convergence will have a greater influence on security than was the case with the previous long-term evolution (LTE) 4G networks and with future 5G networks. The purpose of this research is to satisfy the security recommendations for 5G mobile networks. This research provides a policy-based security management system, ensuring that end-user devices cannot be used as weapons or tools of attack, for example, IP spoofing and man-in-the-middle (MITM) attacks. The results are promising, with a low disconnection rate of less than 4% and 7%. This shows the system to be robust and reliable.

Ensuring Security in the Age of Intelligent Connectivity: Strategic Insights for 6G Networks

“…This calls for proactive measures like encryption, authentication, and access control to safeguard data in transit and at rest. It also calls for intrusion detection and threat intelligence to quickly identify and neutralize cyber threats (Alquhayz et al, 2019). Additionally, AI and machine learning can enhance cyber defenses by providing predictive analytics, anomaly detection, and automatic reaction mechanisms.…”

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“…Alquhayz et al implemented a policy-based security management system to ensure that end-user devices cannot be used as weapons or tools of attack. They evaluated the proposed framework by implementing it using threat models such as IP spoofing and man-in-the-middle (MITM) attacks [145]. However, the framework is limited by a methodology that gives isolated end-user devices their privileges back [145].…”

“…They evaluated the proposed framework by implementing it using threat models such as IP spoofing and man-in-the-middle (MITM) attacks [145]. However, the framework is limited by a methodology that gives isolated end-user devices their privileges back [145]. Zhou et al noted that sharing of large-scale spectrum in 5G heterogeneous networks leads to many security and privacy challenges [146].…”

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“…Self-optimisation capabilities in 5G networks require advanced network control. Such control involves the dynamic generation of network policies and the subsequent execution of those policies, requiring less human intervention and effort [3], [4]. The anatomy of such policy (or control rule, indistinctly) consists mainly of two differentiating parts.…”