<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.gla.ac.uk/id/eprint/1348'>
    <eprintid>1348</eprintid>
    <rev_number>22</rev_number>
    <documents>
      <document id='https://researchdata.gla.ac.uk/id/document/5482'>
        <docid>5482</docid>
        <rev_number>3</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/28730'>
            <fileid>28730</fileid>
            <datasetid>document</datasetid>
            <objectid>5482</objectid>
            <filename>ACSAC_2022_Drone_Authentication.7z</filename>
            <mime_type>application/x-7z-compressed</mime_type>
            <hash>49136cf99204b5b84d6c103f1c2a40c1</hash>
            <hash_type>MD5</hash_type>
            <filesize>1372133976</filesize>
            <mtime>2022-09-14 15:27:46</mtime>
            <url>https://researchdata.gla.ac.uk/1348/1/ACSAC_2022_Drone_Authentication.7z</url>
          </file>
        </files>
        <eprintid>1348</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/x-7z-compressed</mime_type>
        <format>Video</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>ACSAC_2022_Drone_Authentication.7z</main>
        <content>data</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/5483'>
        <docid>5483</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/28732'>
            <fileid>28732</fileid>
            <datasetid>document</datasetid>
            <objectid>5483</objectid>
            <filename>readme.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>e20e53333d067fe8f7a2243060fa64e1</hash>
            <hash_type>MD5</hash_type>
            <filesize>522</filesize>
            <mtime>2022-09-14 15:28:09</mtime>
            <url>https://researchdata.gla.ac.uk/1348/2/readme.txt</url>
          </file>
        </files>
        <eprintid>1348</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>text/plain</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>readme.txt</main>
        <content>readme</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/5484'>
        <docid>5484</docid>
        <rev_number>1</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/28738'>
            <fileid>28738</fileid>
            <datasetid>document</datasetid>
            <objectid>5484</objectid>
            <filename>indexcodes.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>9ebc4c2bda3790926e5cf2feae3f199d</hash>
            <hash_type>MD5</hash_type>
            <filesize>255</filesize>
            <mtime>2022-09-14 15:38:17</mtime>
            <url>https://researchdata.gla.ac.uk/1348/3/indexcodes.txt</url>
          </file>
        </files>
        <eprintid>1348</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>text/plain</mime_type>
        <format>other</format>
        <formatdesc>Generate index codes conversion from Text to indexcodes</formatdesc>
        <language>en</language>
        <security>public</security>
        <main>indexcodes.txt</main>
        <relation>
          <item>
            <type>http://eprints.org/relation/isVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5483</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isVolatileVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5483</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isIndexCodesVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5483</uri>
          </item>
        </relation>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>32961</userid>
    <dir>disk0/00/00/13/48</dir>
    <datestamp>2022-10-18 13:19:28</datestamp>
    <lastmod>2022-10-18 13:20:03</lastmod>
    <status_changed>2022-10-18 13:19:28</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Diao</family>
          <given>Yufeng</given>
        </name>
        <enlightenid>65235</enlightenid>
      </item>
      <item>
        <name>
          <family>ZHANG</family>
          <given>YICHI</given>
        </name>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2022-09-14-1348</uniqueid>
    <title>Drone Authentication via Acoustic Fingerprint</title>
    <divisions>
      <item>30300000</item>
    </divisions>
    <abstract>This artifact consists of raw drone audio recordings and experiment code. Drone audio recordings include all the audio mentioned in Table 1. Additionally, the size of all raw drone audio recordings is about 2.9 gigabytes in the WAV format. Based on that, the experiment code can generate the four MFCC-based datasets: DS1, DS2, DS1N, and DS2N, which are mentioned in the paper. Furthermore, this code can reproduce all the experiment results in Sections 4 and 5 of our paper.</abstract>
    <date>2022-09-14</date>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.1348</id_number>
    <data_type>
      <item>Video</item>
    </data_type>
    <copyright_holders>
      <item>University of Glasgow</item>
    </copyright_holders>
    <pending>FALSE</pending>
    <language>English</language>
    <collection_date>
      <date_from>2022-02-27</date_from>
      <date_to>2022-05-05</date_to>
    </collection_date>
    <retention_date>2032-09-15</retention_date>
    <retention_action>R</retention_action>
    <dataset_origin>
      <item>file_transfer</item>
    </dataset_origin>
    <ingest_data>
      <item>
      </item>
    </ingest_data>
    <archive_data>
      <item>
      </item>
    </archive_data>
    <ethics_consent_required>FALSE</ethics_consent_required>
    <request_copy>FALSE</request_copy>
    <repo_link>
      <item>
        <title>Drone Authentication via Acoustic Fingerprint</title>
        <link>https://eprints.gla.ac.uk/id/eprint/278590</link>
      </item>
    </repo_link>
  </eprint>
</eprints>
