Feature importance guided autoencoder for dimensionality reduction in intrusion detection systems.
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| Title: | Feature importance guided autoencoder for dimensionality reduction in intrusion detection systems. |
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| Authors: | Abdel-Rahman MA; Department of Computer Engineering and Systems, Ain Shams University, Cairo, Egypt. mohamed96elsheikh@gmail.com., Alluhaidan AS; Department of Information Systems, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. asalluhaidan@pnu.edu.sa., El-Rahman SA; Computer Systems program - Electrical Engineering Department, Faculty of Engineering - Shoubra, Benha University, Cairo, Egypt., Masnour AE; Faculty of Computer Science, Misr International University, Cairo, Egypt., Amar ASI; Egyptian Technical Research and Development Center, Cairo, Egypt., Sobh MA; Department of Computer Engineering and Systems, Ain Shams University, Cairo, Egypt., Bahaa-Eldin AM; Department of Computer Engineering and Systems, Ain Shams University, Cairo, Egypt., Shamseldin T; Technical Research Center, Cairo, Egypt., Shalaby M; Faculty of Computer Science, Misr International University, Cairo, Egypt. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 04; Vol. 16 (1), pp. 5013. Date of Electronic Publication: 2026 Feb 04. |
| 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; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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