This paper proposes a distributed architecture for automating and controlling multi-vendor, multi-layer IP over DWDM networks using SDN, enabling end-to-end service lifecycle automation and closed-loo…

This paper proposes a wavelength division multiplexing (WDM)-based entanglement distribution approach using multiple spontaneous parametric downconversion (SPDC) broadband entangled photon pair source…

The paper proposes a novel hybrid key distribution architecture combining Quantum Key Distribution (QKD) with Kirchhoff-law-Johnson-noise (KLJN) statistical-physical key exchange to enhance key genera…

This paper proposes MoX, an optimized load-oblivious routing method for efficient training and inference of sparse Model-of-Experts (MoE) on static direct-connect fabrics.

A hybrid active-online learning framework is proposed for label-efficient concept drift adaptation in optical network failure detection, achieving high accuracy and AUC scores with minimal samples and…

This paper discusses recent advances in modeling Equalization-enhanced phase noise (EEPN) using the temporal Gaussian noise model for efficient system simulation in high symbol-rate coherent transmiss…

The paper proposes a provably secure path validation protocol for large-scale Quantum Key Distribution (QKD) networks that allows receivers to verify network compliance without revealing sensitive top…

This paper proposes an FSO link with ORIS and HARQ for reliable data transmission, deriving statistical models, outage probability expressions, and delay characterization.

The paper proposes a layered, modular network architecture combining Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) to achieve scalable, end-to-end post-quantum security in multi-h…

The paper introduces a topology-hiding connectivity assurance protocol that allows network providers to cryptographically prove the existence of a secure connection in QKD networks without revealing t…

The paper investigates using Convolutional Neural Networks (CNNs) for deanonymizing I2P traffic patterns, but concludes that the proposed methods do not compromise the network's anonymity guarantees.

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 presents an end-to-end system that translates high-level operator intents into low-level, safe routing constraints for LEO mega-constellations, achieving high accuracy and safety guarantees.

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 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…