scholarly journals Derogation of Physical Layer Security Breaches in Maturing Heterogeneous Optical Networks

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2021
Author(s):  
Ammar Armghan
Keyword(s):  
Optical Networks ◽  
Amplitude Modulation ◽  
Orthogonal Frequency Division Multiplex ◽  
Physical Layer Security ◽  
Optical Network ◽  
Physical Layer ◽  
Frequency Division ◽  
Detailed Structure ◽  
Security Breaches ◽  
Diffie Hellman

The evolution journey of optical network (ON) towards heterogeneous and flexible frameworks with high order of applications is continued from the last decade. Furthermore, the prominence of optical security, amount of transmitted data, bandwidth, and dependable presentation are heightened. The performance of ON is degraded in view of various natures of attacks at the physical layer, such as service disrupting and access to carrier data. In order to deal with such security breaches, new and efficient ON must be identified. So, this paper elaborates a detailed structure on physical layer security for heterogeneous ON. Possible mechanisms, such as Elliptic-curve Diffie–Hellman (ECDH), are used to treat a physical layer attack, and an efficient framework is proposed in this paper for 64 quadrature amplitude modulation-based orthogonal frequency division multiplex (64QAM-OFDM) ONs. Finally, theoretical and simulation validations are presented, and the effective results of the proposed method and viewpoint are concluded.

scholarly journals Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case

2020 ◽  
Author(s):  
Carlos Natalino ◽  
Andrea di Giglio ◽  
Marco Schiano ◽  
Marija Furdek
Keyword(s):  
Optical Networks ◽  
Physical Layer Security ◽  
Root Cause Analysis ◽  
Physical Layer ◽  
Use Case ◽  
Cause Analysis ◽  
Root Cause

scholarly journals Irregular Quadrature Amplitude Modulation for Adaptive Physical-Layer Security

2019 ◽  
Author(s):  
Hunter Searle ◽  
Marco A. C. Gomes ◽  
Joao P. Vilela ◽  
Willie K. Harrison
Keyword(s):  
Amplitude Modulation ◽  
Physical Layer Security ◽  
Quadrature Amplitude Modulation ◽  
Physical Layer

scholarly journals Performance Evaluation of Survivability Strategies for Elastic Optical Networks under Physical Layer Impairments

2017 ◽  
Vol 20 (2) ◽  
Author(s):  
Jurandir Lacerda Jr ◽  
Alexandre Fontinele ◽  
Igo Moura ◽  
André Soares
Keyword(s):  
Performance Evaluation ◽  
Optical Networks ◽  
Blocking Probability ◽  
Optical Network ◽  
Evaluation Study ◽  
Physical Layer ◽  
Elastic Optical Network ◽  
Physical Layer Impairments ◽  
A Performance

This paper carried out a performance evaluation study that compares two survivability strategies (DPP and SM-RSA) for elastic optical networks with and without physical layer impairments. The evaluated scenarios include three representative topologies for elastic optical network, NSFNET, EON and USA. It also analyzes the increase of blocking probability when the survivability strategies are evaluated under the realistic scenario that assumes physical layer impairments. For all studied topologies under physical layer impairments, the survivability strategies achieved blocking probability above 80%.

scholarly journals Statistical Assessment of Open Optical Networks

Photonics ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 64 ◽  
Author(s):  
Emanuele Virgillito ◽  
Alessio Ferrari ◽  
Andrea D’Amico ◽  
Vittorio Curri
Keyword(s):  
Optical Networks ◽  
Network Performance ◽  
Blocking Probability ◽  
Optical Network ◽  
Network Capacity ◽  
Physical Layer ◽  
Point Of View ◽  
Assessment Process ◽  
Physical Parameters ◽  
High Level

In order to cope with the increase of the final user traffic, operators and vendors are pushing towards physical layer aware networking as a way to maximize the network capacity. To this aim, optical networks are becoming more and more open by exposing physical parameters enabling fast and reliable estimation of the lightpath quality of transmission. This comes in handy not only from the point of view of the planning and managing of the optical paths but also on a more general picture of the whole optical network performance. In this work, the Statistical Network Assessment Process (SNAP) is presented. SNAP is an algorithm allowing for estimating different network metrics such as blocking probability or link saturation, by generating traffic requests on a graph abstraction of the physical layer. Being aware of the physical layer parameters and transceiver technologies enables assessing their impact on high level network figures of merit. Together with a detailed description of the algorithm, we present a comprehensive review of several results on the networking impact of multirate transceivers, flex-grid spectral allocation as a means to finely exploit lightpath capacity and of different Space Division Multiplexing (SDM) solutions.

scholarly journals Root Cause Analysis for Autonomous Optical Network Security Management

2021 ◽  
Author(s):  
Carlos Natalino ◽  
Marco Schiano ◽  
Andrea Di Giglio ◽  
Marija Furdek
Keyword(s):  
Network Security ◽  
Physical Layer Security ◽  
Optical Network ◽  
Security Management ◽  
Root Cause Analysis ◽  
Physical Layer ◽  
Security Assessment ◽  
Cause Analysis ◽  
Root Cause ◽  
Network Security Management

<div>The ongoing evolution of optical networks towards autonomous systems supporting high-performance services be-yond 5G requires advanced functionalities for automated security management. These functionalities need to support risk reduction, security diagnostics and incident remediation strategies. To cope with evolving security threat scenarios, security diagnostic approaches should be able to detect and identify the nature not only of existing attack techniques, but also those hitherto unknown or insufficiently represented. Machine Learning (ML)-based algorithms have been shown to perform well when identifying known attack types, but cannot guarantee precise identification of unknown attacks. This makes Root Cause Analysis (RCA) a crucial tool to enable timely attack response when human intervention is unavoidable.</div><div>We address these challenges by establishing an ML-based framework for security assessment and analyzing RCA alter-natives for physical-layer attacks. We first scrutinize different Network Management System (NMS) architectures and the corresponding ML-based security assessment functionalities. We then investigate the applicability of supervised and unsupervised learning (SL and UL) approaches for RCA and propose a novel UL-based RCA algorithm called Distance-Based Root Cause Analysis (DB-RCA). Extensive validation of the framework’s applicability and performance in the context of autonomous optical network security management is carried out using an experimental physical-layer security dataset, evaluating the benefits and drawbacks of the SL- and UL-based RCA techniques. Besides confirming that SL-based approaches can be trained to provide precise RCA output for known attack types, the study shows that the proposed UL-based RCA approach offers meaningful insights into the properties of anomalies caused by novel attack types, thus supporting the human security officers in advancing the physical-layer security diagnostics.</div>

Physical Layer Security in Optical Networks

2020 ◽  
pp. 412-424
Author(s):  
Dimitris Syvridis ◽  
Evangelos Pikasis ◽  
Charidimos Chaintoutis
Keyword(s):  
Optical Networks ◽  
Physical Layer Security ◽  
Physical Layer

scholarly journals Physical Layer Security in Multimode Fiber Optical Networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Stefan Rothe ◽  
Nektarios Koukourakis ◽  
Hannes Radner ◽  
Andrew Lonnstrom ◽  
Eduard Jorswieck ◽  
...  
Keyword(s):  
Optical Networks ◽  
Physical Layer Security ◽  
Physical Layer ◽  
Multimode Fiber ◽  
Fiber Optical
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