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Domain generated algorithms detection applying a combination of a deep feature selection and traditional machine learning models

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Phoenix: DGA-Based Botnet Tracking and Intelligence

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NGBPA Next Generation BotNet Protocol Analysis

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Soft voting technique to improve the performance of global filter based feature selection in text corpus

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Analysis of soil erosion characteristics in small watersheds with particle swarm optimization, support vector machine, and artificial neuronal networks

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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

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The evolution of the Internet of Things (IoT) over the past 20 years

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UMUDGA: A dataset for profiling DGA-based botnet

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An assessment of the effectiveness of a random forest classifier for land-cover classification

inferredcites →https://doi.org/10.1016/j.isprsjprs.2016.01.011openalex-snapshot

Random forest in remote sensing: A review of applications and future directions

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Simplifying decision trees

inferredcites →https://doi.org/10.1038/nbt1206-1565openalex-snapshot

What is a support vector machine?

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Reverse engineering and design recovery: a taxonomy

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The CNN paradigm

inferredcites →https://doi.org/10.1109/access.2019.2891588openalex-snapshot

A Machine Learning Framework for Domain Generation Algorithm-Based Malware Detection

inferredcites →https://doi.org/10.1109/hri.2013.6483609openalex-snapshot

Gestures for industry Intuitive human-robot communication from human observation

inferredcites →https://doi.org/10.1109/icdmw.2017.96openalex-snapshot

Inline DGA Detection with Deep Networks

inferredcites →https://doi.org/10.1145/2786984.2786995openalex-snapshot

Scikit-learn

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Lessons from Large-Scale Software as a Service at Databricks

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Analyzing the real-world applicability of DGA classifiers

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Classifying large data sets using SVMs with hierarchical clusters

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A Weighted Voting Classifier Based on Differential Evolution

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A Novel Approach for Detecting DGA-Based Botnets in DNS Queries Using Machine Learning Techniques

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Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

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Long Short-Term Memory

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Benefits of AWS in Modern Cloud

inferredcites →https://doi.org/10.3389/fnhum.2013.00279openalex-snapshot

Transcranial alternating current stimulation: a review of the underlying mechanisms and modulation of cognitive processes

inferredcites →https://doi.org/10.4236/jcc.2015.35021openalex-snapshot

Internet of Things (IoT): A Literature Review

inferredcites →https://doi.org/10.48550/arxiv.1505.06807openalex-snapshot

MLlib: Machine Learning in Apache Spark

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5154947openalex-extracted

inferred← citeshttps://doi.org/10.1007/s10922-023-09793-6openalex-snapshot

Unsupervised Clustering for a Comparative Methodology of Machine Learning Models to Detect Domain-Generated Algorithms Based on an Alphanumeric Features Analysis

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Crayfish-Optimized Self-Attention Conditional GAN to Enhance Cyber Security in Cloud Computing

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Enhancing thermal control for power plants fault detection and forecasting with AI-based multi-source data fusion

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Large Language Models for Effective Detection of Algorithmically Generated Domains: A Comprehensive Review

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A Comparative Evaluation of Machine Learning Methods for Predicting Student Outcomes in Coding Courses

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A Comprehensive Study of Feature Selection Techniques in Machine Learning Models

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