Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment.
Saved in:
| Title: | Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment. |
|---|---|
| Authors: | Alanazi MH; Department of Computer Science, College of Sciences, Northern Border University, Arar, Saudi Arabia., Alkhateeb JH; Department of Computer Engineering, College of Computer Engineering and Science, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. jalkhateeb@pmu.edu.sa., Alamro H; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia., Asiri MM; Department of Computer Science, Applied College at Mahayil, King Khalid University, Abha, Saudi Arabia., Alahmari S; King Abdul Aziz City for Science and Technology (KACST), Cybersecurity Institute, Riyadh, Kingdom of Saudi Arabia., Alqazzaz A; Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia., Alshuhail A; Department of Information Systems, College of Computer Sciences & Information Technology, King Faisal University, Al Hufuf, Saudi Arabia., Alkhiri H; Department of Computer Science, Faculty of Computing and Information Technology, Al- Baha University, Al Baha, Saudi Arabia. |
| Source: | Scientific reports [Sci Rep] 2025 Sep 26; Vol. 15 (1), pp. 33193. Date of Electronic Publication: 2025 Sep 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-025-17437-9 |
