din0s/ml-for-bot-detection
A Python notebook showcasing the use of Machine Learning for the task of bot detection, with an emphasis on e-commerce sites.
This project helps e-commerce site owners and security analysts identify malicious automated traffic. By analyzing your website's access logs, it can distinguish between genuine human visitors and harmful web robots that might be scraping data or disrupting transactions. It provides a framework for recognizing patterns indicative of bot behavior, helping you protect your online business.
No commits in the last 6 months.
Use this if you manage an e-commerce website and need to detect and mitigate automated attacks or competitive scraping by analyzing your server logs.
Not ideal if you are looking for a real-time bot blocking solution or do not have access to detailed web server access logs for your e-commerce platform.
Stars
14
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 08, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/din0s/ml-for-bot-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
SAP/credential-digger
A Github scanning tool that identifies hardcoded credentials while filtering the false positive...
mkearney/tweetbotornot
🤖 R package for detecting Twitter bots via machine learning
jubins/MachineLearning-Detecting-Twitter-Bots
Custom classification algorithm to sense the bots vs human on social media space like twitter
KOSASIH/quantum-sentinel
Quantum Sentinel is an advanced cybersecurity framework that utilizes quantum key distribution...
mahostar/EasyShield_v2.5
EasyShield Anti Spoofing AI Model for edge devices (State-of-the-art) performance (Open Source)...