Workshop Description

The proposed workshop aims to bring together researchers, practitioners, and industry experts to address emerging challenges and opportunities in secure and intelligent next-generation networked systems. With the rapid evolution of 5G/6G technologies, the proliferation of Internet of Things (IoT) devices, and the increasing adoption of AI-driven network management, there is a growing need to develop advanced security frameworks that ensure privacy, trust, and resilience. While AI and ML algorithms are revolutionizing wireless communications and network optimization, they also introduce new vulnerabilities such as adversarial attacks, data privacy breaches, and model poisoning, which must be addressed with innovative techniques.

The workshop will focus on a wide range of technical issues, including privacy-preserving AI/ML models, federated learning for edge networks, blockchain-enabled trust systems, secure communication protocols, and lightweight cryptographic mechanisms for resource-constrained IoT devices. It will also highlight AI-powered intrusion detection systems, adversarial robustness in networked environments, and resilient architectures for wired and wireless networks, aligning directly with the scope of NEW2AN, which emphasizes next-generation wired/wireless networks, IoT, and intelligent systems.

The workshop aligns with the NEW2AN 2025 conference theme by addressing the convergence of wired/wireless networks, IoT, AI, and cybersecurity. It aims to bring together researchers, industry experts, and practitioners to exchange ideas and foster collaboration on innovative security solutions, performance optimization strategies, and resilience frameworks for 5G and 6G systems. The workshop will feature invited keynote talks from leading experts, technical paper presentations, and panel discussions covering future research directions and industrial use cases.