Qualification project for SUSU
Used ensemble models: Random Forest, AdaBoost
Used dataset: CIC-IDS17
Train/test split: 80/20
Attack Classes Classes: DoS Slowhttptest; DoS slowloris; SSH-Patator; FTP-Patator; DoS GlodenEye; DDoS; PortScan; DosHulk; BENIGN.