make an anomaly detector using browser's User agents

[AlyaGomaa]

Created by Alya Gomaa via monday.com integration. 🎉

[AlyaGomaa]

in the future:

1. to change in broswer user agents

2. detect user agents generated by libraries, python urllib, python requests etc.

3. detect the not well known user agents

[shreyasmeher11]

@AlyaGomaa I have reviewed the problem, and I believe I can assist in resolving it. I have come up with a plan to approach the issue:

1. We need to maintain a database of commonly seen user-agent strings.
2. We will detect the strings with low occurrence frequency.
3. Maintain a list of trusted user agents to reduce false positives.
4. Identify user-agent strings that are close to known ones but slightly different.
5. We can use k-means to group strings into known categories and anomaly detection models to identify outliers.
   Kindly let me know if this is a viable approach. I would appreciate it if you assigned me this issue.