Hyper-Heuristic Firefly Algorithm Based Convolutional Neural Networks for Big Data Cyber Security

Objectives: A highly accurate Intrusion detection model is developed that classifies both the network-based and host-based intrusions without any complexity issues. Method: An optimized Deep Learning (DL) algorithm of IDS presented in form a Hyper-Heuristic Firefly Algorithm based Convolutional Neural Networks (HHFA-CNN). This proposed HHFACNN reduces false values improves accuracy increasing complexities. Findings: The HHFA-CNN system performed on two network traffic datasets: NSL-KDD ISCX-IDS. outcomes demonstrated gives predominant execution than other existing models. Novelty: has employed novel for optimizing hyper-parameters CNN. maintains standard guidelines firefly applies high-level technique controlling exploration determination low-level heuristics. Keywords: Big data; Cyber security; system; Algorithm;