Stego-Vector Driven Simultaneous Covert Channels in Streaming Applications

Summary

Researchers present a stego-vector model that treats each independent traffic feature stream of a streaming application, such as an online call or video conference, as a component of a covert channel. They pair it with an orchestration algorithm that schedules channel usage across several network covert channel algorithms. In experiments, the method raised transmission capacity by 3–25% and cut exposure risk by more than 10% against classical multi-channel combinations, and delivered over 40% higher capacity than single-channel methods.