Athanasios Tsokanos
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View article: Machine Learning and Deep Learning-Based Multi-Attribute Physical-Layer Authentication for Spoofing Detection in LoRaWAN
Machine Learning and Deep Learning-Based Multi-Attribute Physical-Layer Authentication for Spoofing Detection in LoRaWAN Open
The use of wireless sensor networks (WSNs) in critical applications such as environmental monitoring, smart agriculture, and industrial automation has created significant security concerns, particularly due to the broadcasting nature of wi…
View article: QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption
QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption Open
Cloud computing has revolutionized the digital era by providing a more efficient, scalable, and cost-effective infrastructure. Secure systems that encrypt and protect data before it is transmitted over a network and stored in the cloud ben…
View article: Network intrusion detection leveraging multimodal features
Network intrusion detection leveraging multimodal features Open
© 2024 The Author(s). Published by Elsevier Inc. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
View article: Network Intrusion Detection Leveraging Multimodal Features
Network Intrusion Detection Leveraging Multimodal Features Open
View article: Effective handling of nonlinear distortions in CO-OFDM using affinity propagation clustering
Effective handling of nonlinear distortions in CO-OFDM using affinity propagation clustering Open
We experimentally demonstrate a system-agnostic and training-data-free nonlinearity compensator, using affinity propagation (AP) clustering in single- and multi-channel coherent optical OFDM (CO-OFDM) for up to 3200 km transmission. We sho…
View article: Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer
Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer Open
A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal…
View article: Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM
Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM Open
Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot of interest in optical fiber communications due to its simplified digital signal processing (DSP) units, high spectral-efficiency, flexibility, and t…
View article: Unsupervised Support Vector Machines for Nonlinear Blind Equalization in CO-OFDM
Unsupervised Support Vector Machines for Nonlinear Blind Equalization in CO-OFDM Open
This document is the Accepted Manuscript of the following article: E. Giacoumidis, et al, 'Unsupervised Support Vector Machines for Nonlinear Blind Equalization in CO-OFDM', Vol. 30 (12): 1091-1094, June 2018. Under embargo until 4 May 202…
View article: Reduction of Nonlinear Intersubcarrier Intermixing in Coherent Optical OFDM by a Fast Newton-Based Support Vector Machine Nonlinear Equalizer
Reduction of Nonlinear Intersubcarrier Intermixing in Coherent Optical OFDM by a Fast Newton-Based Support Vector Machine Nonlinear Equalizer Open
This is an Open Access article. © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publi…