no code implementations • IEEE Access 2020 • SEO JIN LEE1, PAUL D. YOO 2, A. TAUFIQ ASYHARI 3, YOONCHAN JHI4, LOUNIS CHERMAK 1, (Member, CHAN YEOB YEUN 5, AND KAMAL TAHA 5, (Senior Member, IEEE)
Specifically, the study proposes a lightweight ML-based IDS model namely IMPACT (IMPersonation Attack deteCTion using deep auto-encoder and feature abstraction).