A Cross-Dataset based Zero-Day Intrusion Detection System by Integrating Siamese Network and Reinforcement Learning

Zero-day threats are nascent for the Internet of Things (IoT) network security, which demands cognitive detec-tion mechanisms that can identify emerging malicious behavior. Conventional intrusion detection mechanisms fail to generalize dynamic zero-day exploits within sophisticated IoT environments.