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A bio inspired hybrid optimization framework for efficient real time malware detection.

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第一作者： Mosleh M,Abualhaj

第一单位： Department of Networks and Cybersecurity, Al-Ahliyya Amman University, Amman, Jordan. m.abualhaj@ammanu.edu.jo.

作者： Mosleh M,Abualhaj ^[1] ; Hani,Al-Mimi ^[2] ; Mahran,Al-Zyoud ^[3] ; Sumaya N,Al-Khatib ^[4] ; Mohammad Sh,Daoud ^[5] ; Hussain,Al-Aqrabi ^[6] ; Mohammed,Anbar ^[7] ; Ahmad,Shalaldeh ^[8]

作者单位： Department of Networks and Cybersecurity, Al-Ahliyya Amman University, Amman, Jordan. m.abualhaj@ammanu.edu.jo. ^[1] Faculty of Science and Information Technology, Al-Zaytooanh University of Jordan, Amman, Jordan. ^[2] Department of Networks and Cybersecurity, Al-Ahliyya Amman University, Amman, Jordan. ^[3] Department of Computer Science, Al-Ahliyya Amman University, Amman, Jordan. ^[4] College of Engineering, Al Ain University, Abu Dhabi, United Arab Emirates. mohammad.daoud@aau.ac.ae. ^[5] Higher College of Technology, Sharjah, United Arab Emirates. ^[6] Cybersecuity Research Center (CYRES), Universiti Sains Malaysia (USM), Penang, Malaysia. ^[7] Department of Data Science and Artificial Intelligence, Al-Ahliyya Amman University, Amman, Jordan. ^[8]

关键词 Bat algorithm (BA)Feature selection Harris Hawks optimization (HHO)ISCX-URL2016 dataset Machine learning Malware detection

DOI 10.1038/s41598-025-33439-z

PMID 41620548

发布时间 2026-02-06

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