AutoDP-LLM: automating data pre-processing for intrusion detection systems using large language models
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effective data pre-processing pipelines traditionally involves substantial trial-and-error effort and repeated evaluation of alternative configurations. For...
Bao-Phong Nguyen, G. Pham, Thai-Duong Do et al.
· Journal of Supercomputing · 0 citations