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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

Authors: Constantinos Patsakis; Fran Casino;

Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

Abstract

This repository contains a dataset for the research of domain generation algorithms (DGAs) and machine learning. More precisely, it targets dictionary-based DGAs. Constantinos Patsakis, Fran Casino: "Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms", Journal of Information Security and Applications, 2021. Features ordered as in the shared dataset: Family: DGA that the domain belongs to SLD: SLD of the Domain L-LEN: The length of Domain L-DIG: The number of digits in Domain L-CON-MAX: The maximum number of consecutive consonants Domain R-CON-VOW: Number of consonants divided by L-LEN L-SYM: The number of special characters R-SYM-LEN: L-SYM divided by L-LEN R-Dom-3G: Ratio of benign grams in Dom-3G R-Dom-4G: Ratio of benign grams in Dom-4G R-Dom-5G: Ratio of benign grams in Dom-5G L-W2: Number of words with more than 2 characters in Domain L-W3: Number of words with more than 3 characters in Domain R-WS-LEN: Dom-WS divided by L-LEN R-WDS-LEN: Dom-WDS divided by L-LEN R-W2-LEN: Dom-W2 divided by L-LEN R-W3-LEN: Dom-W3 divided by L-LEN M2-Dom-Ws: 2-Chain Markov English grams applied to Dom-WS M2-Dom-WDS: 2-Chain Markov English grams applied Dom-WDS E-Dom-WS: Entropy of Dom-WS E-Dom-WDS: Entropy of Dom-WDS E-Dom-W2: Entropy of Dom-W2 E-Dom-W3: Entropy of Dom-W3

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DGAs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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