Hybrid Network Intrusion Detection System
Deep learning meets network security — 94% accuracy
A deep learning integrated network security solution combining a Genetic Algorithm with Fuzzy-C means clustering, achieving 94% detection accuracy.
- Genetic Algorithm + Fuzzy-C means clustering hybrid architecture
- Achieved 94% intrusion detection accuracy
- Published in TOJQI — Paper ID: 2699, ISSN: 1309-6591
- "A hybrid intelligent approach to network intrusion detection"