The field of wireless communication and security is rapidly evolving, with a focus on developing innovative solutions to address the challenges of dynamic spectrum access, AI-powered network management, and secure data transmission. Researchers are exploring new approaches to predict spectrum availability, detect concept drift in wireless networks, and develop scalable and efficient protocols for IoT deployments. Additionally, there is a growing emphasis on ensuring the security and privacy of wireless communications, with techniques such as bidirectional TLS handshake caching and reputation-based partition schemes being proposed. Noteworthy papers in this area include: Towards Reliable AI in 6G, which introduces two unsupervised concept drift detectors that outperform classical detectors by 20-40 percentage points. Bidirectional TLS Handshake Caching for Constrained Industrial IoT Scenarios, which reduces bandwidth consumption and computational overhead by up to 61.1% and 8.5%, respectively.