# ML-Based 5G Network Slicing Security:
## 5 Emerging Threats and Security Concerns in ML Based 5G Network Slicing  
This section discusses the existing solutions on 5G, the services of 5G security, the network slicing concept, its applications, and its security concerns. The enhanced fifth generation of mobile network will bring considerable modifications in mobile technologies and communication. It advances the fields of Internet of Things (IoT), Augmented Reality (AR), and machine to machine communication such as Vehicle-to-Vehicle (V2V) and Vehicle-to-Everything (V2X). The 5G network provides features such as scalability, availability, reliability, and mobility and fulfills security dimensions such as authentication, authorization, data integrity, confidentiality, availability, access control, and privacy needed for critical applications. Network slicing is one of the key features of 5G. By slicing the physical network into multiple logical networks, each provides specified services depending upon the type of application scenario. According to [PERSON] et al. [20], network slicing is a transition from network-as-an-infrastructure to network-as-a-service. According to the authors, network slicing put an end to the need for diverse necessities; they explored key factors in the recent advancements in network slicing by adapting several IoT smart applications. The authors also devised the taxonomy based on numerous parameters such as slicing resource levels, physical infrastructure, security, and many others. [PERSON] et al. [17] reviewed the existing works on 5G network slicing, identified challenges, and how will look in reality. The authors reviewed the state-of-the-art 5G network slicing and illustrated the architectures based on NGMN and 5G-PPP visions. [PERSON] et al. [46] have implemented a hybrid learning algorithm on a 5G network slicing dataset, presuming three phases, namely data collection, optimal weighted feature extraction (OWFE), and slicing classification. The author operated with GS-DHOA-NN + DBN-based network slicing to make network slicing more effective and accurate. [PERSON] et al. [75] proposed an M-Cord-based LTE network, in which they implemented a programmable and dynamic slicing mechanism, with end-to-end and logically separate resource connectivity, using vNSSF and OAI frameworks for network slicing with M-Cord, with a programmable handling control and data plane. Security is always a key concern in the network. Lots of researchers are working on the improvement of security in the 5G network. [PERSON] et al. [76] developed a secure 5G network framework which offers 5G services from the LTE advanced network platform. The authors also worked on various security-related issues relating to the implementation of cost-effective 5G network architectures. [PERSON] et al. [77] presented various security challenges in the 5G network. The authors developed a secure 5G network architecture that overcomes all of the security-related challenges. To resolve IoT, SDN, NFV, and MEC related challenges, an artificial intelligence system was used in the 5G network. [PERSON] et al. [78] gave a detailed survey of various security and privacy-related threats to the 5G network. The authors presented various 5G network security parameters such as availability, authentication, data confidentiality, reliability, accessibility. The authors also discussed various technologies of 5G networks such as SDN, D2D, industry 4.0, MEC, AI and many others. The growing digitization of industrial automation requires networks to be more efficient, resilient, high performing, secure, and simple to use [79]. Continuous improvement in the field of 5G and networking infrastructure, and the concept of virtualisation encountered in networks that use slicing, are both associated with risk. Cyber risk is one vital matter of security which needs to be preserved. [PERSON] et al. [80] introduced some cyber security solutions to future network management, with the aim to support automatic network management based on cyber security QoS description vectors.