Develop ML model to detect Bot Traffic at HTTP/HTTPS level for a server
Budget: $50 – $100 USD
Hello :), I need someone to make a machine learning model that can spot bot traffic at HTTP/HTTPS level. Basically, the idea is to figure out if a visitor/request to a server is legit or not. If they're not legit, the website should block them, maybe with a 403 error. I know this could be done without machine learning, but I specifically want a machine learning project that has some kind of a model.
You can use any available data set + augmented data is acceptable. This doesn't have to be perfect but the documentation has to be very very clear in jupyter notebooks. You need to come up with a basic formula for detecting whether HTTPS/HTTP traffic is legitimate or not. (As for the datasets, maybe you can use server log datasets? I am not too sure on this.)
Deliverables:
1. Jupyter Notebook File
2. Source Code
3. Basic instructions to set it up
When bidding, please be specific about your approach as that will help me to pick the most suitable person. Thanks.
Deadline: April 15th.
Budget: $100
You can use any available data set + augmented data is acceptable. This doesn't have to be perfect but the documentation has to be very very clear in jupyter notebooks. You need to come up with a basic formula for detecting whether HTTPS/HTTP traffic is legitimate or not. (As for the datasets, maybe you can use server log datasets? I am not too sure on this.)
Deliverables:
1. Jupyter Notebook File
2. Source Code
3. Basic instructions to set it up
When bidding, please be specific about your approach as that will help me to pick the most suitable person. Thanks.
Deadline: April 15th.
Budget: $100