Python
Cyber Security and Django
2023
ID: 1CP0687
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives on Machine Learning and Django Utilizing Python
Keywords:
Cyber
Threat
Intelligence,
CTI
Mining,
Cybersecurity,
Machine
Learning,
Django,
Python,
Attack
Prediction,
Threat
Detection
Project Synopsis & Overview
This project applies cyber threat intelligence mining and machine learning to proactively detect cyber attacks, using a Django web application in Python. Threat data is collected, preprocessed, and converted into features for model prediction. Authorized users log in, enter values, and receive predictions on whether an attack occurs and its type, strengthening proactive cybersecurity defense and helping organizations respond effectively.
Complete Technical Specifications
| Project ID | 1CP0687 (DB ID: 687) |
| Project Title | Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives on Machine Learning and Django Utilizing Python |
| Domain Division | Python |
| Sub-Domain / Tech | Cyber Security and Django |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 11, 2026 |
Project Price
₹6500
₹8000
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100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
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