This test examines whether or not the domain names used by Meek (a type of Tor link) work in proven systems.
Meek was a pluggable transportation which utilizes non-blocked domain names, instance google, awsstatic (Amazon cloud system), and ajax.aspnetcdn (Microsoft azure cloud infrastructure) to proxy its consumers over Tor to clogged websites, while hiding both the fact that these are typically connecting to this type of web sites as well as how they might be linking in their eyes. As such, Meek is useful for not only linking to web sites which can be obstructed, but for additionally concealing which internet you are hooking up to.
The user will receive a reply (usage of a blocked web site, for instance) from cloud-fronted domains, like bing, through the next ways:
Basically, this examination do an encrypted connection to cloud-fronted domain names over HTTPS and examines whether it can connect with all of them or otherwise not. As a result, this test makes it possible for customers to test whether Meek makes it possible for the circumvention of censorship in an automated means.
Through the information pipeline, OONI processes all system measurements that it accumulates, including the next forms of information:
OONI automatically gathers the signal which represents the nation from where the consumer was working OONI Probe reports from, by immediately on the lookout for it according to the usera€™s ip through the MaxMind GeoIP databases. The number of country codes is a crucial part of OONIa€™s study, because enables OONI to map out worldwide network proportions also to determine in which network obstructions occur.
Autonomous Program Numbers (ASN)
OONI automatically accumulates the Autonomous System quantity (ASN) which represents the community that a user is actually operating OONI Probe studies from. The number of the ASN is advantageous to OONIa€™s research given that it shows the precise system company (such as for example Vodafone) of a user. These types of info increases visibility in relation to which network services tend to be applying swinging heaven sign in censorship and other forms of system interference.
Date and time of specifications
OONI automagically gathers the full time and time of when examinations had been work. These records helps OONI consider whenever community obstructions occur in order to evaluate them across opportunity.
internet protocol address address alongside info
OONI will not intentionally collect or shop usersa€™ IP address contact information. Actually, OONI takes measures to remove usersa€™ internet protocol address address contact information from the collected specifications, to safeguard its consumers from possible dangers.
But OONI might unintentionally gather usersa€™ internet protocol address details alongside probably personally-identifiable records, if these data is contained in the HTTP headers and other metadata of measurements. This, as an example, may appear in the event the analyzed sites put monitoring technologies or personalized contents considering a usera€™s community venue.
The kinds of community dimensions that OONI gathers rely on the kinds of assessments which can be manage. Requirements about each OONI examination can be seen through the git repository, and information regarding just what gathered community measurements include can be looked at through OONI Explorer or through OONIa€™s public variety of proportions.
OONI processes the aforementioned kinds of facts aided by the goal of deriving meaning from the accumulated measurements and, particularly, so that they can address here different questions:
Which forms of OONI tests happened to be work?
By which region had been those reports work?
Where sites comprise those exams run?
Whenever had been tests manage?
What kinds of network disturbance occurred?
By which countries performed system interference happen?
By which sites performed circle disturbance occur?
When performed network interference occur?
Exactly how did network disturbance take place?
To answer these issues, OONIa€™s pipeline is made to procedure data and that is automatically taken to OONIa€™s description enthusiast automatically. The original handling of circle measurements allows the annotated following:
Attributing dimensions to a specific country.
Attributing dimensions to a certain system within a country.
Distinguishing measurements based on the particular examinations that have been work with their range.
Distinguishing between a€?normala€? and a€?anomalousa€? measurements (aforementioned suggesting that a kind of network tampering is likely provide).
Identifying the type of system disturbance predicated on some heuristics for DNS tampering, TCP/IP blocking, and HTTP blocking.