There would be Airbnb traffic would look different from a VPN.
For an Airbnb you’d have the accounts change frequently but seldom multiple account from the same IP. Whereas a BPN would see the same accounts frequently but with many overlapping accounts from the same IP.
Similarly with hotels you’d see the overlapping of accounts per IP but less regularity of the same accounts.
This feels like one of those problems machine learning could help solve. Though there is a lot you can deduce just from
good old fashioned rules. Eg some IP subnets are going to have a higher probability of hosting a VPN (eg those bought for AWS EC2) vs legitimate traffic over other IP subnets.
For an Airbnb you’d have the accounts change frequently but seldom multiple account from the same IP. Whereas a BPN would see the same accounts frequently but with many overlapping accounts from the same IP.
Similarly with hotels you’d see the overlapping of accounts per IP but less regularity of the same accounts.
This feels like one of those problems machine learning could help solve. Though there is a lot you can deduce just from good old fashioned rules. Eg some IP subnets are going to have a higher probability of hosting a VPN (eg those bought for AWS EC2) vs legitimate traffic over other IP subnets.