In this research, we propose a novel optimized ensemble deep learning-based approach for anomaly-based IDS classification. The proposed approach includes several innovative aspects: initially, raw dat
In this research, we propose a novel optimized ensemble deep learning-based approach for anomaly-based IDS classification. The proposed approach includes several innovative aspects: initially, raw dat
Static and dynamic analysis report of IOT malware, including external agent information (all IPs related to each binary). Malware has been gathered from a global network of IoT oriented honeypots duri
In this research, we propose a novel optimized ensemble deep learning-based approach for anomaly-based IDS classification. The proposed approach includes several innovative aspects: initially, raw dat
