Using ML to detect network attackers or malicious network activity
Your name
Mike Berg
Team name
Packet Watchers
Brief Description
The goal of this project is to use anomaly detection with ML.NET to detect malicious network activity. We will simulate a network with some random non malicious agents emitting network traffic (Web request, ftp, etc) and then add a malicious agent that will conduct abnormal network traffic (port scanning, vulnerability execution, etc). We will train a model to identify the activity of the malicious agent from the activity of the non malicious agents.
Other
Are you looking for team members?
[X] Yes
[ ] No
Would you like to have a mentor assigned to your team?
Hackathon Idea
Using ML to detect network attackers or malicious network activity
Your name
Mike Berg
Team name
Packet Watchers
Brief Description
The goal of this project is to use anomaly detection with ML.NET to detect malicious network activity. We will simulate a network with some random non malicious agents emitting network traffic (Web request, ftp, etc) and then add a malicious agent that will conduct abnormal network traffic (port scanning, vulnerability execution, etc). We will train a model to identify the activity of the malicious agent from the activity of the non malicious agents.
Other
Are you looking for team members?
Would you like to have a mentor assigned to your team?