Muhammad Faishol Amrulloh

DEEP LEARNING-BASED INTRUSION DETECTION SYSTEMS: ARCHITECTURES, IMPLEMENTATIONS, AND CHALLENGES IN MODERN NETWORK ANOMALY DETECTION

The increasing complexity of cyber threats has strengthened the need for adaptive network intrusion detection systems (IDS). This systematic literature review (SLR) synthesizes nine peer-reviewed studies published from 2024 to 2026 on deep learning (DL)-based network anomaly detection. The review follows a PRISMA 2020-...