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Use of supervised machine learning to detect abuse of COVID-19 related domain names()
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In: Comput Electr Eng (2022)
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Abstract:
A comprehensive evaluation of supervised machine learning models for COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are evaluated. The deep learning implementation architectures evaluated include the recurrent, convolutional, and hybrid models. The detection rate metrics and the computing time metrics are considered in the evaluation. The result reveals that advanced deep learning models outperform conventional machine learning models in terms of detection rate. The results also show evidence of a tradeoff between detection rate and computing speed for the selection of machine learning models/architectures. High-frequency lexical analysis is provided for a better understanding of the COVID-19 related domain names. The limitations, implications, and considerations of the use of supervised machine learning to detect abuse of COVID-19 related domain names are discussed.
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Keyword:
Article
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898670/
https://doi.org/10.1016/j.compeleceng.2022.107864
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Modularized Interaction Network for Named Entity Recognition ...
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Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
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In: http://infoscience.epfl.ch/record/275278 (2020)
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Genetic diversity and phylogenetic structure of four Tibeto‐Burman‐speaking populations in Tibetan‐Yi corridor revealed by insertion/deletion polymorphisms
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Genetic diversity and phylogenetic analysis of Chinese Han and Li ethnic populations from Hainan Island by 30 autosomal insertion/deletion polymorphisms ...
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Genetic diversity and phylogenetic analysis of Chinese Han and Li ethnic populations from Hainan Island by 30 autosomal insertion/deletion polymorphisms ...
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Assessment of the quality and content of clinical practice guidelines for post-stroke rehabilitation of aphasia
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Genetic structure and forensic characteristics of Tibeto-Burman-speaking Ü-Tsang and Kham Tibetan Highlanders revealed by 27 Y-chromosomal STRs
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Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-01833739 ; Eur.Phys.J.C, 2018, 78 (6), pp.509. ⟨10.1140/epjc/s10052-018-5950-6⟩ (2018)
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Marrying up Regular Expressions with Neural Networks:A Case Study for Spoken Language Understanding
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Population Genetic Diversity and Phylogenetic Characteristics for High-Altitude Adaptive Kham Tibetan Revealed by DNATyperTM 19 Amplification System
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Measurement of prompt and nonprompt charmonium suppression in $\text {PbPb}$ collisions at 5.02 $\,\text {Te}\text {V}$
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Learning with noise:enhance distantly supervised relation extraction with dynamic transition matrix
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A convolution BiLSTM neural network model for Chinese event extraction
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