[_ak]

I worked in adtech a few years ago, and AdNauseam-style click fraud is a relatively trivial to detect and ignore. It does nothing, and adtech companies don't care about your hate of online advertising the least because that's what brings in the cash.

[diplocorp]

Do you mind shedding light on how such click fraud is detected?

[rvnx]

The most usual technique is to setup click baits/traps, once you click on a trap link you (= IP or UID via cookie) are added to an ignore list, where all your actions are not invoiced to advertisers. Simple and works,

[nazka]

To add to what has been said in the other comments, even just a simple algorithme and stats can detect that. You don't even need a Machine Learning model. It's rare than someone clicks on ads, even more several times on the same one, and even more if it's several times every day. The behavior of the user will just look like an aberration on the chart with hundreds times more clicks than the next maximum.