This paper introduces Virtual Time-Sensitive Networking (V-TSN), a software-defined overlay for gPTP-based synchronization and TSN traffic shaping over general-purpose networks without specialized har…

This paper proposes a scheme to coordinate 5G and TSN schedulers for supporting deterministic communications with bounded latencies in industrial applications.

This paper establishes a timing attack against network-agnostic guardians in time-triggered communication protocols, causing collisions with critical messages and remaining undetected.

This paper explores how Time Sensitive Networking (TSN) standards can provide determinism in cost-effective Open Radio Access Network (O-RAN) architectures.

This paper proposes ARTSN, a scheduling paradigm for autonomous real-time systems using time-sensitive networking, addressing volatility and absence challenges of self-triggered traffic.

This paper proposes a hierarchical analytical framework to characterize region-level latency differences in Low-Earth orbit satellite Internet using Starlink RTT measurements.

This paper proposes a new approach for designing Radio Access Network (RAN) slices in 5G and beyond networks using descriptors that consider both transmission rate and latency requirements to support…

This paper proposes a UE-specific NAS timer optimization method for LEO NTN-TN integrated networks, reducing registration latency, energy consumption, and avoidable attempts.

This paper proposes a proactive fair scheduling framework to prevent fabric oversubscription and eliminate incast in Mixture of Experts (MoE) architectures, demonstrating consistent link utilization a…

The paper introduces Tofu, a generalizable tool that automatically performs rigorous channel fault analysis on distributed protocols, synthesizing attack traces or proving their absence for given LTL…

The paper demonstrates that using lightweight block cipher encryption on CAN payloads can effectively prevent passive reverse engineering of signal semantics without significantly impacting real-time…

The paper proposes TimeGuard, a novel channel-wise pool training defense, to significantly improve the robustness of time series forecasting against backdoor attacks by addressing signal dilution and…

This paper proposes CAPS, a scheduling layer for data centers that separates rate computation and packet scheduling, reducing queue occupancy by up to 10x without throughput loss.

This paper compares Google's BBR-v3 Congestion Control Algorithm to eight others over SpaceX's Starlink network, demonstrating its fairness and throughput maximization in high-latency, variable satell…

This paper develops a runtime recovery framework for broadcasting in dense Gaussian networks under static and dynamic faults, proving necessary and sufficient repair edges and providing efficient repa…