September 1, 2020 Dataset Open Access

Constantinos Patsakis; Fran Casino

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.4010620</identifier>
  <creators>
    <creator>
      <creatorName>Constantinos Patsakis</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4460-9331</nameIdentifier>
      <affiliation>University of Piraeus</affiliation>
    </creator>
    <creator>
      <creatorName>Fran Casino</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4296-2876</nameIdentifier>
      <affiliation>University of Piraeus</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>DGAs</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-09-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4010620</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4010619</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This repository contains a&amp;nbsp;dataset for the research of domain generation algorithms (DGAs) and machine learning. More precisely, it targets dictionary-based DGAs.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Constantinos Patsakis, Fran Casino: &amp;quot;Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms&amp;quot;,&amp;nbsp;Journal of Information Security and Applications, 2021.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;Features ordered as in the shared dataset:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;Family: DGA that the domain belongs to&lt;/li&gt;
	&lt;li&gt;SLD: SLD of the Domain&lt;/li&gt;
	&lt;li&gt;L-LEN: The length of Domain&lt;/li&gt;
	&lt;li&gt;L-DIG: The number of digits in Domain&lt;/li&gt;
	&lt;li&gt;L-CON-MAX: The maximum number of consecutive consonants Domain&lt;/li&gt;
	&lt;li&gt;R-CON-VOW: Number of consonants divided by L-LEN&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;L-SYM: The number of special characters&lt;/li&gt;
	&lt;li&gt;R-SYM-LEN: L-SYM divided by L-LEN&lt;/li&gt;
	&lt;li&gt;R-Dom-3G: Ratio of benign grams in Dom-3G&lt;/li&gt;
	&lt;li&gt;R-Dom-4G: Ratio of benign grams in Dom-4G&lt;/li&gt;
	&lt;li&gt;R-Dom-5G: Ratio of benign grams in Dom-5G&lt;/li&gt;
	&lt;li&gt;L-W2: Number of words with more than 2 characters in Domain&lt;/li&gt;
	&lt;li&gt;L-W3: Number of words with more than 3 characters in Domain&lt;/li&gt;
	&lt;li&gt;R-WS-LEN: Dom-WS divided by L-LEN&lt;/li&gt;
	&lt;li&gt;R-WDS-LEN: Dom-WDS divided by L-LEN&lt;/li&gt;
	&lt;li&gt;R-W2-LEN: Dom-W2 divided by L-LEN&lt;/li&gt;
	&lt;li&gt;R-W3-LEN: Dom-W3 divided by L-LEN&lt;/li&gt;
	&lt;li&gt;M2-Dom-Ws: 2-Chain Markov English grams applied to Dom-WS&lt;/li&gt;
	&lt;li&gt;M2-Dom-WDS: 2-Chain Markov English grams applied Dom-WDS&lt;/li&gt;
	&lt;li&gt;E-Dom-WS: Entropy of Dom-WS&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;E-Dom-WDS: Entropy of Dom-WDS&lt;/li&gt;
	&lt;li&gt;E-Dom-W2: Entropy of Dom-W2&lt;/li&gt;
	&lt;li&gt;E-Dom-W3: Entropy of Dom-W3&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/832735/">832735</awardNumber>
      <awardTitle>Lawful evidence collecting and continuity platform development</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/780498/">780498</awardNumber>
      <awardTitle>Cybersecurity Awareness and Knowledge Systemic High-level Application</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/830929/">830929</awardNumber>
      <awardTitle>Cyber Security Network of Competence Centres for Europe</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>