AI in Intrusion Detection Systems (IDS)

AI-powered IDS enhance security by identifying malicious activities in real-time. These systems use deep learning and behavioral analytics to detect known and unknown cyber threats.

Types of AI-Based IDS:

• Network-Based IDS (NIDS): Analyzes incoming and outgoing network traffic.
• Host-Based IDS (HIDS): Monitors system logs and processes for anomalies.
• Hybrid IDS: Combines NIDS and HIDS for comprehensive security.

Deep Learning Models for IDS:

• Convolutional Neural Networks (CNNs): Detect packet-level anomalies.
• Long Short-Term Memory (LSTM): Identifies sequential attack patterns.
• Self-Organizing Maps (SOMs): Clusters network behavior into normal vs. abnormal categories.