BPBiLSTM-IDS: a lightweight intrusion detection framework for cyber-physical UAV networks.

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Bibliographic Details
Title: BPBiLSTM-IDS: a lightweight intrusion detection framework for cyber-physical UAV networks.
Authors: Attaullah HM; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia., Khan IU; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia.; Azerbaijan University of Architecture and Construction, Baku, Azerbaijan., Alam MM; Universiti Kuala Lumpur, Malaysian Institute of Information Technology (UniKL MIIT), 1016, Jalan Sultan Ismail, Kuala Lumpur, 50250, Malaysia. m.mansoor@riphah.edu.pk.; Faculty of Computing, Riphah International University, Islamabad, Pakistan. m.mansoor@riphah.edu.pk., Su'ud MM; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia., Kaushik K; Center for Cyber Security and Cryptology, Sharda School of Computer Science and Engineering, Sharda University, Greater Noida, India., Sajid A; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia.; Department of Computer Science, Fazaia Bilquis College of Education for Women, Nur Khan, Rawalpindi, Air University, Islamabad, Pakistan., Saaludin N; Universiti Kuala Lumpur, Malaysian Institute of Information Technology (UniKL MIIT), 1016, Jalan Sultan Ismail, Kuala Lumpur, 50250, Malaysia., Khan TA; Universiti Kuala Lumpur, Malaysian Institute of Information Technology (UniKL MIIT), 1016, Jalan Sultan Ismail, Kuala Lumpur, 50250, Malaysia.
Source: Scientific reports [Sci Rep] 2026 Jun 04. Date of Electronic Publication: 2026 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-55446-4