https://github.com/lohithgsk/flare-federated-learning-and-resilient-encryption-for-firewalls
FLARE is a novel approach to redefine the design of firewalls. Traditional firewalls generally rely on static rule sets, which can be exploited by advanced algorithms. FLARE provides a novel approac by designing Machine Learning based firewalls integrated with fedreated learning.
https://github.com/lohithgsk/flare-federated-learning-and-resilient-encryption-for-firewalls
federated-learning firewall kmeans-algorithm logistic-regression machine-learning random-forest support-vector-machines
Last synced: 2 months ago
JSON representation
FLARE is a novel approach to redefine the design of firewalls. Traditional firewalls generally rely on static rule sets, which can be exploited by advanced algorithms. FLARE provides a novel approac by designing Machine Learning based firewalls integrated with fedreated learning.
- Host: GitHub
- URL: https://github.com/lohithgsk/flare-federated-learning-and-resilient-encryption-for-firewalls
- Owner: lohithgsk
- Created: 2024-09-16T05:27:23.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-20T09:24:22.000Z (3 months ago)
- Last Synced: 2025-08-20T11:36:36.361Z (3 months ago)
- Topics: federated-learning, firewall, kmeans-algorithm, logistic-regression, machine-learning, random-forest, support-vector-machines
- Language: Jupyter Notebook
- Homepage:
- Size: 19.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0