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Intelligent Optical Signal Processing in Optical Fiber Communication

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1097

Special Issue Editor


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Guest Editor
College of Electronic and Information Engineering, Tongji University, Shanghai, China
Interests: optical waveguide; optical fiber; free space optical communication; optical fiber communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optical signal processing has emerged as a significant topic in optical fiber communications, further boosting the system capacity. The linear and nonlinear penalties, such as the fiber dispersion, polarization mode dispersion, and fiber nonlinearity, which pose certain limitations for signal transmission, can be readily overcome via the use of advanced signal processing techniques. Intelligent signal processing aims to exploit the upcoming artificial intelligence tide in order to achieve the more efficient and low-cost realization of the signal processing target.

This Special Issue focuses on, but is not limited to, the theory, algorithms, and experimental realization of intelligent optical signal processing, with the aim of sharing the state-of-the-art technology with the broader research community.

Prof. Dr. Junhe Zhou
Guest Editor

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Keywords

  • optical signal processing
  • optical fiber communication
  • optical communication

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Published Papers (1 paper)

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Research

32 pages, 2926 KiB  
Article
Mitigating Security Vulnerabilities in 6G Networks: A Comprehensive Analysis of the DMRN Protocol Using SVO Logic and ProVerif
by Ilsun You, Jiyoon Kim, I Wayan Adi Juliawan Pawana and Yongho Ko
Appl. Sci. 2024, 14(21), 9726; https://doi.org/10.3390/app14219726 - 24 Oct 2024
Viewed by 784
Abstract
The rapid evolution of mobile and optical communication technologies is driving the transition from 5G to 6G networks. This transition inevitably brings about changes in authentication scenarios, as new security demands emerge that go beyond the capabilities of existing frameworks. Therefore, it is [...] Read more.
The rapid evolution of mobile and optical communication technologies is driving the transition from 5G to 6G networks. This transition inevitably brings about changes in authentication scenarios, as new security demands emerge that go beyond the capabilities of existing frameworks. Therefore, it is necessary to address these evolving requirements and the associated key challenges: ensuring Perfect Forward Secrecy (PFS) to protect communications even if long-term keys are compromised and integrating Post-Quantum Cryptography (PQC) techniques to defend against the threats posed by quantum computing. These are essential for both radio and optical communications, which are foundational elements of future 6G infrastructures. The DMRN Protocol, introduced in 2022, represents a major advancement by offering both PFS and PQC while maintaining compatibility with existing 3rd Generation Partnership Project (3GPP) standards. Given the looming quantum-era challenges, it is imperative to analyze the protocol’s security architecture through formal verification. Accordingly, we formally analyze the DMRN Protocol using SVO logic and ProVerif to assess its effectiveness in mitigating attack vectors, such as malicious or compromised serving networks (SNs) and home network (HN) masquerading. Our research found that the DMRN Protocol has vulnerabilities in key areas such as mutual authentication and key exchange. In light of these findings, our study provides critical insights into the design of secure and quantum-safe authentication protocols for the transition to 6G networks. Furthermore, by identifying the vulnerabilities in and discussing countermeasures to address the DMRN Protocol, this study lays the groundwork for the future standardization of secure 6G Authentication and Key Agreement protocols. Full article
(This article belongs to the Special Issue Intelligent Optical Signal Processing in Optical Fiber Communication)
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