About this document
Multi-Objective Immune Algorithm for IDS by mtech is a document available to read on EtoBox.
The document presents an improved multi-objective immune algorithm (MOIA) for feature selection in intrusion detection systems, aiming to enhance classification accuracy and reduce computational costs. By treating feature subsets as individuals for immune optimization and utilizing a neural network for model training, the proposed algorithm effectively addresses the challenges of high-dimensional data. Experimental results demonstrate its superior performance on NSL-KDD and UNSW-NB15 datasets compared to tr
- Author
- mtech
- Language
- EN