Adaptive Deep Learning Framework for Zero-Day Attack Detection using Anomaly and Behavior Analysis
Traditional signature-based intrusion detection systems (IDS) and rule-based security mechanisms frequently fail to detect these kinds of advanced and adaptive attacks because they rely on the patterns of attacks in the past. In addition, modern cyberattacks are very dynamic and polymorphic; traditional detection metho...