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About Capstone Final Report-1
This document proposes a machine learning model for cyber threat detection. It analyzes network traffic data using feature engineering to detect suspicious activity. The model is trained on a large, diverse dataset of normal and malicious traffic so it can learn patterns and anomalies that indicate potential threats. When evaluated on benchmark datasets, the model achieves high accuracy, demonstrating its effectiveness in detecting and responding to threats in real time through advanced machine learning techniques. This provides a more efficient solution for improving cybersecurity compared to traditional methods.
Detailed Information
| Author: | ['Abhijeet '] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 53 |
| Language: | English |
| Format: | |
| Price: | FREE |
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