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Blockchain-Based Anomaly Detection Techniques by Sardar Irfanullah is a document available to read on EtoBox.
What is Blockchain-Based Anomaly Detection Techniques about?
This document discusses the integration of deep learning and blockchain technology for anomaly detection and attack type identification. It highlights the challenges faced in implementing effective anomaly detection due to the unique characteristics of anomalies and the limitations of existing methods. The proposed methodology involves using a Fractional Beluga Whale Optimization technique combined with deep learning models to enhance the detection and identification processes within blockchain networks.
- Author
- Sardar Irfanullah
- Language
- EN