The 1^st Workshop on AI Methods for Secure and Resilient Mobile Networks (AI4SecureNets) will be held in September 2026, Newark, Delaware, USA, in conjunction with the IEEE Conference on Communications and Network Security .

Scope of the Workshop

In the rapidly evolving landscape of mobile communications, the integration of Artificial Intelligence (AI) into Beyond 5G (B5G) and 6G systems marks a pivotal moment for network security and resilience. As these next-generation networks leverage cloud-native architectures, virtualized infrastructures, and open-source components, the attack surface expands significantly, introducing new vulnerabilities and requiring a fundamental shift in the security approach. This Workshop on AI Methods for Secure and Resilient Mobile Networks (AI4SecureNet) is both timely and essential as it addresses the urgent need to embrace AI to protect next-generation mobile infrastructures. AI offers powerful capabilities for automation, threat detection, and optimization, but it also introduces new attack vectors that must be proactively addressed. The increasing diversity of end devices and the complexity of network environments further complicate the security landscape and require scalable, adaptive, and context-aware defence strategies. This workshop invites contributions from academia, industry, and regulatory authorities to explore AI-driven security mechanisms, privacy protection techniques, digital twins for resilience modelling, and the protection of critical services that rely on mobile networks. Topics will also include the security of IoT and wireless body area networks, secure cloud/fog integration, and the robustness of AI models themselves. Beyond technical innovations, the program will examine economic and operational aspects of deploying highly secure security frameworks, supported by analyses of real- world security breaches and theoretical attack scenarios. By promoting interdisciplinary exchange, AI4SecureNets aims to foster a holistic understanding of mobile network security and support the development of trustworthy, resilient infrastructures—at a time when such efforts are more important than ever.

Suggested topics

• Cyber threats to B5G/6G networks

• Emerging technical enablers for B5G/6G security and privacy

• Physical layer security

• Resilience strategies for next-generation mobile networks

• Trust mechanisms, root-of-trust and Zero Trust in mobile networks

• AI/ML for network security, Trusted AI and Trustworthy AI 

• Security and privacy concerns about AI/ML methods in mobile networks

• Security and privacy aspects of federated learning

• Security and privacy aspects of RIS/IRS

• Security and privacy of integrated sensing and communication

• Security and privacy of localization in mobile networks

• Cloud, fog, and edge computing security challenges

• IoT device and network security

• Energy aware security controls for wireless networks

Important Dates:

• Submission Deadline: 22. June 2026

• Acceptance Notification: 15. July 2026

• Camera Ready: 14. August 2026

• Workshop Date: 17. September 2026

Submission Instructions

All papers shall be submitted via EDAS. SSubmitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions must be written in English with a maximum paper length of 6 pages and formatted according to the two-column IEEE conference format. For the templates, please refer to the IEEE Page here.

Workshop Co-Chairs

• Aydin Sezgin, Ruhr-University Bochum (Germany)

• Rasheed Hussain, University of Bristol (United Kingdom)

• Bin Han, RPTU University Kaiserslautern-Landau (Germany)

• Konstantinos Katsaros, Digital Catapult (United Kingdom)

• Christoph Lipps, DFKI (Germany)

Programm Co-Chairs

• Reijo Savola, University of Jyväskylä (Finland)

• Junqing Zhang, University of Liverpool (United Kingdom)

• Hirley Alves, University of Oulu (Finland)

• Henry Collier, Thomas Edison State University

• Hans D. Schotten, RPTU University Kaiserslautern-Landau (Germany)

TPC Members

• Jan Pennekamp, RWTH Aachen University (Germany)

• Stefan Köpsell, Technical University of Dresden (Germany)

• Andreas Weinand, RPTU University Kaiserslautern-Landau (Germany)

• Stefan Tatschner, Fraunhofer AISEC (Germany)

• Jörn Hoffmann, University of Leipzig (Germany)

• Frank Ye, Acentury (Canada)

• Kai Jansen, PHYSEC GmbH (Germany)

• Riku Lehkonen, University of Jyväskylä (Finland)

  (More to confirm…)