Many investigations have been carried out in the field of path protection and restoration in WDM optical networks. Most of these studies neglect the impact of physical layer impairments on routing and wavelength assignment strategies, and more specifically on protection strategies. Actually, an optical signal undergoes throughout its route many transmission impairments. In the absence of 3R reg...

Transparent All Optical Networks carry huge traffic and any link failure can cause the loss of gigabits of data; hence protection and its guarantee becomes necessary at the time of failure. Many protection schemes were presented in the literature, but none of them speaks about protection guarantee. Also, in all optical networks, due to absence of  regeneration capabilities, the physical layer i...

Routing and wavelength assignment (RWA) is a widely discussed design problem in the optical networks literature. Physical layer impairments (PLI) degrade the quality of transmission (QOT) of a propagating optical signal inside the optical fiber and they have a significant impact on the RWA process. 3R regeneration, which is based on the expensive optical-to-electronic-to-optical (OEO) conversio...

We prove that quantum-hard one-way functions imply simulation-secure quantum oblivious transfer (QOT), which is known to suffice for secure computation of arbitrary functionalities. Furthermore, our construction only makes black-box use the function. Our primary technical contribution a extractable and equivocal bit commitments based on in standard model. Instantiating Crépeau-Kilian (FOCS 1988...

Machine learning (ML) is more and used to address the challenges of managing physical layer increasingly heterogeneous complex optical networks. In this tutorial, we illustrate how simple sophisticated machine methods can be in lightpath quality transmission (QoT) estimation forecast tasks. We also discuss data processing strategies with aim determine relevant features feed ML classifiers predi...

In cryptography, oblivious transfer (OT) is an important multi-party cryptographic primitive and protocol, that suitable for many upper-layer applications, such as secure computation, remote coin-flipping, electrical contract signing exchanging secrets simultaneously. However, some no-go theorems have been established, indicating one-out-of-two quantum (QOT) protocols with unconditional securit...

In this work, deep graph convolutional neural networks (DGCNN) are applied for estimating the quality-of-transmission (QoT) of unseen network states in elastic optical (EONs) presence physical layer impairments (PLIs), including inter- and intra-channel crosstalk (XT). The objective is to find a DGCNN-QoT model that accurately estimates state feasibility. A considered feasible if QoT in-service...

To support the emerging 5G applications and bearer networks, optical as critical infrastructure, are continuously evolving to be more dynamic automatic. The vision of future autonomous networks with low link margins requires precise estimation/prediction quality transmission (QoT) links. Machine learning (ML) technologies provide promising solutions predict QoT unestablished In this paper, we i...

We demonstrate a flexible-bandwidth network testbed with a real-time, adaptive control plane that adjusts modulation format and spectrum-positioning to maintain quality of service (QoS) and high spectral efficiency. Here, low-speed supervisory channels and field-programmable gate arrays (FPGAs) enabled real-time impairment detection of high-speed flexible bandwidth channels (flexpaths). Using p...

Ultra-wideband transmission is a promising, cost-effective solution to meet the increasing demand for data traffic in optical fiber systems. However, system performance and quality of (QoT) are limited by nonlinearity, particular, interchannel stimulated Raman scattering (ISRS), leading power transfer from short long wavelengths. As result, per-channel launch optimization required maximize thro...