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The Internet of Things (IoT) intelligently facilitates individuals interacting with the real-world applications which forms smart environment through internet connectivity at anywhere anytime (dynamic in nature), the devices in an IoT environment encounters several security threats. To overcome these security challenges numerous state of art approaches have been implemented to ensure the security of IoT appliances, but still innovative methods are desirable. The traditional Machine learning (ML) integrates with deep learning algorithm exhibits a potential of detecting abnormal intrusion patterns by formulating a seamless option for anomaly-based detection. This work proposed a Dynamic Distributed—Generative Adversarial Network (DD-GAN) with Improved Firefly Optimization- Hybrid Deep Learning based Convolutional Neural Network -Adaptive Neuro-Fuzzy Inference System (IFFO-HDLCNN + ANFIS) that …