Network Traffic Anomaly Detection using Machine Learning

I am looking for a skilled freelancer to help me with a project titled "Network Traffic Anomaly Detection using Machine Learning."

Network Traffic Data:
- The project requires expertise in handling both packet-level and NetFlow data.

Primary Goal:
- The primary goal of the anomaly detection is to identify potential security threats and monitor network performance simultaneously.

Machine Learning Method:
- The preferred machine learning method for this project is unsupervised learning.

Ideal Skills and Experience:
- Strong knowledge and experience in handling both packet-level and NetFlow data.
- Proficient in implementing anomaly detection algorithms using unsupervised learning.
- Familiarity with machine learning techniques and algorithms.
- Ability to analyze and interpret network traffic data to identify potential threats.
- Experience in monitoring network performance and identifying anomalies.
- Strong problem-solving skills and ability to work independently.

If you have the necessary skills and experience, please submit your proposal for this project.