CyberNet: Next-Gen Cybersecurity for Mission-Critical Mobile Networks

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A focused workshop on trustworthy AI, resilient mobile systems, edge security, IoT protection, and mission-critical network defense.

CyberNet 2026 addresses the cybersecurity challenges of rapidly deployable, dependable, mobile, edge-enabled, and mission-critical networks, including:

• Mission-critical connectivity: Rapidly deployable networks support situational awareness, autonomous systems, video-based communication, and remote-controlled devices.
• Edge intelligence: Edge computing delivers compute, caching, sensing, control, and IoT services near mission-critical operations.
• Trustworthy AI security: AI-based security must become dependable, robust, resilient, explainable, and resistant to adversarial and backdoor attacks.
• System-aware defenses: The workshop prioritizes prototypes, testbeds, measurement studies, deployment experiences, and cross-layer security designs.

CyberNet welcomes system-oriented contributions across AI security, mobile networking, IoT, edge orchestration, authentication, resilience, and software-defined control. Topics of interest include, but are not limited to:

• New design and implementation for cybersecurity in mission-critical mobile networks
• Network science for embedding cybersecurity in mission-critical mobile networks
• Security and information assurance in mission-critical mobile networks
• Foundation models and LLMs for cybersecurity in mission-critical mobile networks
• Federated and decentralized learning for cybersecurity in mission-critical mobile networks
• Edge intelligence and on-device AI for cybersecurity in mission-critical mobile networks
• Cross-layer security architectures and technologies for mission-critical mobile networks
• Trustworthy, explainable, and robust AI for mission-critical mobile network security
• Game-theoretic security approaches for mission-critical mobile networks
• Public key infrastructure, trust, and authentication for mission-critical mobile networks
• Lightweight and resource-aware AI for cybersecurity in mobile and edge environments
• Blockchain-based security and privacy applications for mission-critical mobile networks
• Intrusion detection, prevention, and response for mission-critical mobile networks
• Programmable and intent-driven security for software-defined mobile networks
• Named Data Networking for cybersecurity in mission-critical mobile networks
• Digital twins for AI-driven cybersecurity analysis in mission-critical mobile networks
• Cross-layer optimizations for cybersecurity provisioning in mission-critical mobile networks
• Knowledge fusion for cybersecurity in mission-critical mobile networks
• Multi-agent and distributed systems for cybersecurity in mission-critical mobile networks
• Cognitive modelling for cybersecurity provisioning in mission-critical mobile networks
• Other smart applications for cybersecurity in mission-critical mobile networks