QoS-Aware Security and Privacy
for AI-Driven Systems
Workshop on QoS-Aware Security and Privacy for AI-Driven Digital Twin and Metaverse Systems (QSP-AI-MetaTwin). Co-located with IWQoS 2026.
Digital Twin and Metaverse systems powered by AI are becoming important technologies for future cyber-physical and immersive computing environments. Digital twins create virtual versions of real-world systems so that they can be monitored, simulated, and improved. Metaverse platforms, on the other hand, create permanent, shared virtual spaces that allow for large-scale human interaction and collaboration.
The conventional methods for security and privacy frequently result in computational overhead or communication delays that can adversely affect Quality of Service (QoS). So, there is a very important need for integrated frameworks that work together to improve both QoS and security/privacy in AI-enabled distributed environments.
All workshop papers must be original, unpublished, and follow the IEEE conference format, with a maximum length of 8 single-spaced, double-column pages (10-point font), including references and appendices. Templates are available at template-selector.ieee.org (select "Conferences").
Accepted papers will be published in IEEE conference proceedings and submitted to IEEE Xplore (subject to IEEE policies).
