CorrAUC: a malicious bot-IoT traffic detection method in IoT network using machine-learning techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …
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CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

M Shafiq, Z Tian, AK Bashir, X Du, M Guizani - 2021 - qspace.qu.edu.qa
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

CorrAUC: a Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine Learning Techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2021 - e-space.mmu.ac.uk
Identification of anomaly and malicious traffic in the Internet of things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

[引用][C] CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2021 - cir.nii.ac.jp
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning
Techniques | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

CorrAUC: a Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine Learning Techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2021 - e-space.mmu.ac.uk
Identification of anomaly and malicious traffic in the Internet of things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …