International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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A Comprehensive Survey to Prediction of Botnet Attacks and Prevent Attacks using Integration Framework of Deep Learning, Blockchain Technology

Author(s) Bhagyalaxmi B S, Ashwini M S, Yashodha H R
Country India
Abstract Many devices which are connected digitally (IoT) has become part of our daily use in modern life, revolutionizing areas such as smart homes, healthcare, organizations, agricultural areas and transportation. However, the rapid expansion of connected devices has significantly increased the hazard of malicious bot activities, bullying the safety of IoT networks. To address these challenges, researchers have explored the use of Intelligent Machine learning (ML) and Deep Neural network learning (DL) methods for detecting and mitigating botnets, alongside Blockchain technology for enhancing data integrity and securing decentralized communication. This organized review explores the integration of ML, DL, and Blockchain technologies in IoT botnet detection, focusing on target datasets, performance metrics, and datasets preprocessing strategies. By analyzing primary research published between 2018 and 2023, the analysis highlights the few issues of existing approaches, identifies key advancements, and outlines research areas for developing robust, scalable, and secure frameworks for IoT botnet detection and prevention.
Keywords IoT, Machine Learning, Deep Learning, Blockchain, Metrics
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-04
Cite This A Comprehensive Survey to Prediction of Botnet Attacks and Prevent Attacks using Integration Framework of Deep Learning, Blockchain Technology - Bhagyalaxmi B S, Ashwini M S, Yashodha H R - IJFMR Volume 7, Issue 1, January-February 2025.
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E-ISSN 2582-2160
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