We find that 84\% of paths originating in Brazil traverse the United States, but when relays are used for country avoidance, only 37\% of Brazilian paths traverse the United States. Then, we investigate how clients can use overlay network relays and the open DNS resolver infrastructure to prevent their traffic from traversing certain jurisdictions. We find that traffic is traversing known surveillance states, even when the traffic originates and ends in a country that does not conduct mass surveillance. By measuring the country-level paths to popular domains, we characterize transnational routing detours. We find that although many of these efforts are extensive, they are often futile, due to the inherent lack of hosting and route diversity for many popular sites. In some cases, countries are taking extreme steps, such as building new Internet Exchange Points (IXPs), which allow networks to interconnect directly, and encouraging local interconnection to keep local traffic local. In response, governments and citizens are increasingly paying attention to the countries that their Internet traffic traverses. An increasing number of countries are passing laws that facilitate the mass surveillance of Internet traffic. Paste the following PHP code into it and then run it in the browser: \n") ĭie("Error: ". Now, create a PHP file called test.php in your website. SET INTEGRITY FOR db25ipv6 IMMEDIATE CHECKED Querying the data in PHP LOAD FROM "C:\myfolder\INDEXED.CSV" OF DEL INSERT INTO db25ipv6Īfter the import is done, one last command is needed to make the table ready for queries. Now that we have a table, we will commence the import of data from our CSV file into the table. CREATE TABLE db25ipv6(ip_from CHAR(39) NOT NULL, ip_to CHAR(39) NOT NULL, country_code CHAR(2), country_name VARCHAR(64), region_name VARCHAR(128), city_name VARCHAR(128), latitude DOUBLE, longitude DOUBLE, zip_code VARCHAR(30), time_zone VARCHAR(8), isp VARCHAR(256), domain VARCHAR(128), net_speed VARCHAR(8), idd_code VARCHAR(5), area_code VARCHAR(30), weather_station_code VARCHAR(10), weather_station_name VARCHAR(128), mcc VARCHAR(256), mnc VARCHAR(256), mobile_brand VARCHAR(128), elevation INT, usage_type VARCHAR(11), address_type CHAR(1), category VARCHAR(10), PRIMARY KEY (ip_to)) Next, run the following command to create the table. CONNECT TO ip2loc USER db2admin USING "12345" Our username is “db2admin” and password is “12345”. CREATE DATABASE ip2locĪfter creating the database, you need to connect to it by running the below command. In the DB2 Command Line Processor, run the following command to create the database. Run the Perl script by calling the below command in command prompt: perl Importing the CSV data into DB2 My $resultto = $padchar x ($padlen - length($ipnumto)) My $resultfrom = $padchar x ($padlen - length($ipnumfrom)) Open IN, "$filename2" or die "Cannot open output file" "IPV6-COUNTRY-REGION-CITY-LATITUDE-LONGITUDE-ZIPCODE-TIMEZONE-ISP-DOMAIN-NETSPEED-AREACODE-WEATHER-MOBILE-ELEVATION-USAGETYPE-ADDRESSTYPE-CATEGORY.CSV" We will be using a Perl script to create an index field in the CSV data to speed up queries later.Ĭreate a new Perl file called and paste the following code into it: use strict For this example, we are using a Windows 10 machine. We will assume you have already set up DB2 and PHP on the localhost and are using PHP via Apache (also on the localhost). We will not cover installation of DB2 or PHP in this guide. We’ll store ours in C:\myfolder but you can choose any folder you wish. The guide will demonstrate how to import IP2Location data (DB25 IPv6) in CSV form into DB2 and then query the data in a PHP page.įirst of all, you will need to download the IP2Location DB25 IPv6 CSV file.Įxtract out the IPV6-COUNTRY-REGION-CITY-LATITUDE-LONGITUDE-ZIPCODE-TIMEZONE-ISP-DOMAIN-NETSPEED-AREACODE-WEATHER-MOBILE-ELEVATION-USAGETYPE-ADDRESSTYPE-CATEGORY.CSV file from the downloaded zipped file.
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