DDoS and IP Spoofing Detection Tool

I'm looking for a freelancer or a team with strong expertise in network security, machine learning, and Splunk to develop a detection tool for DDoS and IP Spoofing, with a particular focus on DDoS.

Key aspects of the project:

- The tool should analyze both real-time and historical network traffic data.

- It needs to primarily detect volumetric and protocol DDoS attacks.

- The detection mechanism should be based on supervised learning methods using Splunk.

- The tool should connect to our company's network via APIs.

- Provides a full incident report.

Ideal candidates should have:

- Proven experience in developing network security tools.

- In-depth knowledge of DDoS and IP Spoofing attack patterns.

- Proficiency in using Splunk for data analysis and supervised learning for anomaly detection.

- Skills in API integration.

Please provide examples of similar projects you have worked on.

Computer Security Network Administration Internet Security Linux Web Security

Project ID: #39000957

About the project