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

The paper proposes a resource-aware integer linear programming model to optimally allocate monitoring depth across heterogeneous network devices, balancing detection capability against computational 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 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 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 investigates the effects of structural and temporal inhomogeneities in decentralised federated learning and shows that they significantly slow down the convergence process.

The ZCube topology, which eliminates path multiplicity and reduces switching hardware, delivers better performance for large model training and inference than traditional multipath datacenter networks…

The paper proposes a dynamic queueing framework that estimates an organization's cyber resources and attack surface dynamics by analyzing the timestamps of vulnerabilities and fixes, achieving high ac…

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…

This paper discusses the significant challenges in developing a holistic intrusion detection system for Industrial Control Systems (ICS) that must cover all operational dimensions.