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                <identifier>oai:data.mendeley.com/6fhw732ccz.1</identifier>
                <datestamp>2022-03-17T09:16:33Z</datestamp>
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    <dc:creator>Ould Slimane, Hadjar</dc:creator>
    <dc:title>ADS-B Message Injection Attacks Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset includes authentic ADS-B messages samples from the OpenSky Network and injected messages simulated using PyCharm. This dataset contains a total of 22,316 messages where legitimate messages are labeled with 0 and injected malicious messages labeled with 1, 2, and 3 for the path modification, ghost aircraft injection, and velocity drift attacks, respectively. This dataset contains 17 features of which 15 are extracted from ADS-B messages, the Received Signal Strength (RSS), and the Doppler shift. A supplementary file containing raw ADS-B messages of the selected receiver is also provided. This dataset can be used to train machine learning models in order to build robust ADS-B message injection attack detection techniques.</dc:description>
    <dc:subject>Cybersecurity</dc:subject>
    <dc:subject>Wireless Communication</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:contributor>Benouadah, Selma</dc:contributor>
    <dc:contributor>Kaabouch, Naima</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/6fhw732ccz.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/6fhw732ccz.1</dc:identifier>
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    <dc:date>2022-03-17T09:16:33Z</dc:date>
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