The field of 5G network research is moving towards enhanced security and management capabilities. Recent studies have focused on addressing the challenges of security threats, network performance, and resource optimization in 5G networks. Notably, the integration of new technologies such as RFID and machine learning is being explored to improve network efficiency and security. Additionally, there is a growing emphasis on developing standardized frameworks for measuring and managing security in 5G and future networks. Overall, the field is advancing towards more secure, efficient, and automated network management systems. Noteworthy papers include: KPI Poisoning: An Attack in Open RAN Near Real-Time Control Loop, which proposes an ML-based approach to detect poisoned KPI values. Improving 5G/B5G Network Performance with RFID-Enabled Resource Management Systems, which demonstrates substantial improvements in key performance metrics using RFID technology. Towards NWDAF-enabled Analytics and Closed-Loop Automation in 5G Networks, which presents a practical implementation of NWDAF for real-time data collection and closed-loop automation. Assessing the Latency of Network Layer Security in 5G Networks, which evaluates the latency overhead of IPsec and WireGuard in 5G networks. Measuring Security in 5G and Future Networks, which introduces a state machine model for measuring the security state of 5G and future networks.