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1Academic Journal
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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2Academic Journal
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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3Image
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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4Image
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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5Image
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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6Image
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
Relation: https://figshare.com/articles/figure/Visualizing_UDP_and_ICMP_DDoS_flooding_attack_/25191099
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7
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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8Image
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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9
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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10
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
Relation: https://figshare.com/articles/dataset/Illustrates_the_limitation_of_DL-based_approaches_/25191105
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11
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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12
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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13
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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14
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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15
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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16
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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17
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
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18
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
Relation: https://figshare.com/articles/dataset/Evaluation_metrics_for_multiclass_classifications_/25191135
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19
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset
Relation: https://figshare.com/articles/dataset/Evaluation_metrics_for_binary_classifications_/25191129
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20
المؤلفون: Abdullah Ahmed Bahashwan, Mohammed Anbar, Selvakumar Manickam, Ghassan Issa, Mohammad Adnan Aladaileh, Basim Ahmad Alabsi, Shaza Dawood Ahmed Rihan
مصطلحات موضوعية: Biotechnology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, user datagram protocol, experimental findings indicate, deep multilayer perception, significant challenge due, quantitatively evaluated across, based detection approach, unrealistic sdn datasets, existing sdn datasets, e ., high, standard ddos attacks, based ddos attacks, sdn , evaluated using, detection accuracy, ddos attacks, sdn controller, udp ), traffic fluctuations, tcp ), significant features, rates dataset, qualitatively compared, highly contribute, distributed denial, detecting high, benchmark dataset