# Deep Learning-Based Symptomizing Cyber Threats Using Adaptive 5G Shared Slice Security Approaches
## 1 Introduction
For zero-day attack detection, we suggest an AI-based adaptive security model using adaptive defense systems (ADSs), as shown in Figure 1, focusing on a modular approach to design advanced PACDSs, which can help to develop and deploy the DL security modules and their placements on PoPs, which are defined by the proposed KPIs for 5G network security. This supervisory approach can help to monitor the NetFlow on shared slices more efficiently and rapidly and to empower network security systems to be smarter and more tactically secure in regard to intelligent attacks. This paper mainly contributes to the design of a CTS module, such as VNF. It can be deployed on interslice and intraslice communication channels to deal with security challenges in a shared environment, and furthermore, can identify the places for the security scanners' PoPs among slices and associated VNFs. We seek to deploy the CTS module on multiple streams of the 5G network for threat detection and channel optimization. Figure 1: Adaptive defense systems—ADS [17]. Using isolation as a tool, we utilize the proposed \"KPIs\" to secure 5G networks from compromised 5G tenants. This effort will ensure the stable E2E QoS among slices and their VNFs in a shared architectural system. The research objective is to create an efficient defense mechanism that not only defends network services but also deals with the issue of security service placement on 5G networks. The suggested architecture maintains a degree of stability in terms of QoS, budgetary costs, and security as a service. KPIs-based network analysis also assists an operator in mounting a NetFlow-based virtual security scanner on desired logical channels or in a space between multiple network domains. For tactical and partial security deployment, it is necessary to define the logical partition of the network, whilst considering communication channels and NFs. For logical partitions, the following suggested KPIs are more helpful for mounting data checkpoints on:  
* Inter-slice communication channels;
* Intra-slice communication channels;
* 5G and tenants' network (2G, 3G, 4G) communication channels. The security PoPs are logical blueprints for mounting checkpoints for backhaul and fronthaul security to the 5G core. The 5G network is a service-based architecture (SBA) system that uses service-level agreements (SLAs) with various tenants. The 5G supports the sharing of services used by operators. The shared service can be compromised using a third-party network service in a shared slice. The proposed security schemes, e.g., the design of the CTS module, the logical partition of the network, and defined security PoPs, provide real-time threat detection in 5G network streams. Network data analytic function (NWDAF) [18; 19; 20], a novel feature, has been used to assist the security program integration of a CTS module on 5G networks for adaptive defense. Moreover, the train and test models used to improve classification accuracy contrast with past efforts based on experimental work. The virtualized CTS (vCTS) as a security module is used to generalize a higher accuracy rate and a quicker response time in order to narrow down the research gap in past contributions in anomaly detection and make an additional effort in the placement of virtualized security modules.