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Recent Trends in Electronics Communication Systems Review Article

Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection

  1. Sumit Kumar Soni Department of Computer Science, Oriental Institute of Science and Technology, Bhopal
  2. Sreeja Nair Department of Computer Science, Oriental Institute of Science and Technology, Bhopal

Abstract

Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. Additionally, this paper has further discussed how edge and cloud computing can be used for increasing latency and reducing the operational cost and improving data privacy. It also compares different approaches of hybrid security techniques to show how these effectively reduce vulnerabilities in an IoT device. The findings emphasize the potential of integrating deep learning with IoT to develop robust, efficient, and secure systems.

Keywords

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