This is a dockerized version of the isp-pollution script by essandess. It obfuscates your real browsing history by generating faux webpage requests. This approach increases your privacy by using the security through obscurity principle. The generated fake requests will make it more difficult for your ISP to interpret your browsing history and build a profile of yourself. This approach, however, is not fool-proof as a knowledgeable person would be able to disentangle genuine requests from the fakes. Ergo, if you're not a famous person or person of interest (for whatever reason), this should satisfy most of your needs.
I have exposed two parameters from the original script -- bandwidth and memory usage to be user-configurable as docker environment variables.
GBPM - bandwidth usage, where 1024 corresponds to 1TB per month.
MEM - limits the memory usage of the container.
docker run -d --network host -e GBPM=300 -e MEM=512 --name isp-pollution hvalev/isp-pollution
version: "3.7"
services:
isp-pollution:
container_name: isp-pollution
image: hvalev/isp-pollution
network_mode: host
environment:
- PUID=1000
- PGID=1000
- TZ=Europe/Amsterdam
- GBPM=300
- MEM=512
restart: always
docker build https://github.com/hvalev/isp-pollution-docker.git --tag isp-pollution
The script uses python functions, which would be deprecated in versions > 3.9. Hence it is not recommended to bump up the python version further.