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Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest.

, , , , , и . ICONIP (1), том 11953 из Lecture Notes in Computer Science, стр. 756-765. Springer, (2019)

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Muhamad Bata

Muhamad Ghazal

Muhamad Zahim Sujod

Muhamad Ayas Harfosh

Muhamad bin Othman

 

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How Resilient is Privacy-preserving Machine Learning Towards Data-Driven Policy? Jakarta COVID-19 Patient Study Case., , , и . ARTMAN@CCS, стр. 5-10. ACM, (2023)Developing a knowledge management system for supporting flood decision-making., , , , и . ISC2, стр. 1-4. IEEE, (2022)Wi-Fi intrusion detection using weighted-feature selection for neural networks classifier., , , и . IWBIS, стр. 99-104. IEEE, (2017)Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest., , , , , и . ICONIP (1), том 11953 из Lecture Notes in Computer Science, стр. 756-765. Springer, (2019)Improving Detection of Wi-Fi Impersonation by Fully Unsupervised Deep Learning., и . WISA, том 10763 из Lecture Notes in Computer Science, стр. 212-223. Springer, (2017)Automated Threat-Alert Screening for Battling Alert Fatigue with Temporal Isolation Forest., , , , , и . PST, стр. 1-3. IEEE, (2019)Understanding Citizen Feedback of Jakarta Government Super App: Leveraging Deep Learning Models., , , , , , и . ISC2, стр. 1-6. IEEE, (2023)Automating Public Complaint Classification Through JakLapor Channel: A Case Study of Jakarta, Indonesia., , , , , и . ISC2, стр. 1-6. IEEE, (2022)Detecting Impersonation Attack in WiFi Networks Using Deep Learning Approach., и . WISA, том 10144 из Lecture Notes in Computer Science, стр. 136-147. (2016)Deep learning in intrusion detection perspective: Overview and further challenges., и . IWBIS, стр. 5-10. IEEE, (2017)