ICLab Data
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-2as_number
: Autonomous System Numberschedule_name
: web test lists( i.e., Alexa global top list, CitizenLab, or Berkman center)url
dns
dns_reason
: true = manipulated, false = unmanipulateddns_all
dns_reason_all
http_status
block
: true = blockpages, false = normalbody_len
http_reason
packet_updated
: true = injected, false = no injectionpacket_reason
censored_updated
: true = censored, false = uncensored