Multimodal malware classification using proposed ensemble deep neural network framework.

Saved in:
Bibliographic Details
Title: Multimodal malware classification using proposed ensemble deep neural network framework.
Authors: Nazim S; Malaysian Institute of Information Technology, Universiti Kuala Lumpur, 1016, Jalan Sultan Ismail, 50250, Kuala Lumpur, Malaysia.; Department of Computer Science, Bahria University Islamabad Campus, Shangrilla Rd, E-8/1, Islamabad, Pakistan., Alam MM; Faculty of Computing, Riphah International University, Near Hajj Complex I-14, Islamabad, Pakistan., Rizvi S; Department of Computer Science, Bahria University Karachi Campus, 13 National Stadium Rd, Karachi, Pakistan., Mustapha JC; Malaysian Institute of Information Technology, Universiti Kuala Lumpur, 1016, Jalan Sultan Ismail, 50250, Kuala Lumpur, Malaysia. jawahir@unikl.edu.my., Hussain SS; Department of Computer Science, Sir Syed CASE Institute of Technology, Street 33, Block A Sector B-17 Multi Gardens B-17, Islamabad, Pakistan., Su'ud MM; Multimedia University, Persiaran Multimedia, Cyberjaya, Selangor, Malaysia.
Source: Scientific reports [Sci Rep] 2025 May 23; Vol. 15 (1), pp. 18006. Date of Electronic Publication: 2025 May 23.
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
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-96203-3