isp-data-pollution | ISP Data Pollution to Protect Private Browsing History

isp-data-pollution is a Python library. isp-data-pollution has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However isp-data-pollution build file is not available. You can download it from GitHub.

Congress's party-line vote will allow ISP's to exploit your family's private data without your consent. See "Senate Puts ISP Profits Over Your Privacy". This script is designed to defeat this violation by generating large amounts of realistic, random web browsing to pollute ISP data and render it effectively useless by obfuscating actual browsing data. I pay my ISP a lot for data usage every month. I typically don't use all the bandwidth that I pay for. If my ISP is going to sell private browsing habits, then I'm going to pollute browsing with noise and use all the bandwidth that I pay for. This method accomplishes this. If everyone uses all the data they've paid for to pollute their browsing history, then perhaps ISPs will reconsider the business model of selling customer's private browsing history. The alternative of using a VPN or Tor merely pushes the issue onto to the choice of VPN provider, complicates networking, and adds the real issue of navigating captchas when appearing as a Tor exit node. Also, merely encrypted traffic has too much exploitable side-channel information, and could still be used to determine when specific family members are at home, and the activities in which they're engaged. This crawler uses chromedriver with the Python selenium library, uses blacklists for undesirable websites (see the code for details), does not download images, and respects robots.txt, which all provide good security.