ICLab has been running and measuring Internet censorship since late 2016. We are happy to share the analyzed data that we use in our recent paper: ICLab: A Global, Longitudinal Internet Censorship Measurement Platform, accepted to the IEEE Symposium on Security and Privacy 2020.
Our data is hosted on several platforms for public access. Please contact us if you encounter any issue when downloading the data.
Our data is in
CSV format with the following columns:
filename: name of raw data file (for internal use)
server_t: the timestamp of when the measurement was conducted (e.g., 2017-01-01T00:03:55.797Z)
country: country code ISO alpha-2
as_number: Autonomous System Number
schedule_name: web test lists( i.e., Alexa global top list, CitizenLab, or Berkman center)
dns_reason: true = manipulated, false = unmanipulated
block: true = blockpages, false = normal
packet_updated: true = injected, false = no injection
censored_updated: true = censored, false = uncensored