DDoS & IP Spoofing Detection Tool website
Budget: $750 – $1,500 USD
I'm looking for a seasoned professional or a competent team with a strong background in network security, machine learning, and Splunk to create a DDoS and IP Spoofing detection tool. The primary focus of this tool will be on accurately identifying DDoS attacks.
Key Features of the Tool:
- Analyze both real-time and historical network traffic data.
- Primarily detect volumetric DDoS attacks.
- Utilize supervised learning methods through Splunk for detection.
- Connect to our company's network via APIs.
- Generate a comprehensive incident report that includes potential vulnerabilities identified.
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.
Budget: $750 to $1250 max.
Please share examples of similar projects you have successfully completed.
Key Features of the Tool:
- Analyze both real-time and historical network traffic data.
- Primarily detect volumetric DDoS attacks.
- Utilize supervised learning methods through Splunk for detection.
- Connect to our company's network via APIs.
- Generate a comprehensive incident report that includes potential vulnerabilities identified.
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.
Budget: $750 to $1250 max.
Please share examples of similar projects you have successfully completed.