âšī¸ About This Project
Why Build This?
IT security relies on log analysis to detect potential threats. Manually analyzing logs is inefficient, so this project automates anomaly detection with deep learning.
đĨ Challenges
- Data Volume â Logs are massive; efficient processing is needed.
- False Positives â Balancing sensitivity vs. accuracy.
- Real-time Analysis â The model should flag anomalies quickly.
đ Future Enhancements
- Implement unsupervised learning for unknown attack patterns.
- Integrate with real-world security tools.
- Deploy on cloud platforms for scalability.