Self-Adaptive Lightweight Attention Module-Based BiLSTM Model for Effective Intrusion Detection
Crossref DOI link: https://doi.org/10.1007/s13369-024-09476-7
Published Online: 2024-08-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alhassan, Afnan M.
Text and Data Mining valid from 2024-08-21
Version of Record valid from 2024-08-21
Article History
Received: 5 November 2023
Accepted: 6 August 2024
First Online: 21 August 2024
Declarations
:
: I have no conflicts of interest to disclose.