An adaptive cheetah optimization-driven Bi-LSTM framework for efficient network intrusion detection
Crossref DOI link: https://doi.org/10.1007/s41060-026-01122-9
Published Online: 2026-05-17
Published Print: 2026-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Amareshwari, N. Radhika
Govardhanis, Aliseri
Text and Data Mining valid from 2026-05-17
Version of Record valid from 2026-05-17
Article History
Received: 29 July 2025
Accepted: 6 April 2026
First Online: 17 May 2026
Declarations
:
: The authors declare no competing interests.