Documentation updates

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Sarah Jamie Lewis 2021-02-16 14:20:20 -08:00
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@ -37,11 +37,25 @@ download everything, the more the system can safely tolerate parties with small
To what extent you can actually account for this in your application is an open question.
### Statistical Attacks
Using some basic binomial probability we can use the false positive rate of reach receiver tag to calculate
the probability of matching on at least X tags given the false positive rate. Using this we can find statistically
unlikely matches e.g. a low-false positive key matching many tags in a given period.
This can be used to find receivers who likely received messages in a given period.
If it is possible to group tags by sender then we can perform a slightly better attack and ultimately learn the
underlying social graph with fairly low false positive rates (in simulations we can learn 5-10% of the underlying
connections with between 5-12% false positive rates.)
For more information on statistical attacks please check out our [fuzzytags simulator](https://git.openprivacy.ca/openprivacy/fuzzytags-sim).
### Should Senders use an anonymous communication network?
If differential attacks are likely e.g. few parties download everything and
If statistical & differential attacks are likely e.g. few parties download everything and
multiple messages are expected to originate from a sender to a receiver or there
is other information that might otherwise link a set of messages to a receiver then you may want to consider how
is other information that might otherwise link a set of messages to a sender or receiver then you may want to consider how
to remove that context.
One potential way of removing context is by having senders send their message to the server through some kind of anonymous

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# FuzzyTags
![](https://git.openprivacy.ca/openprivacy/fuzzytags/media/branch/trunk/FuzzyTags_Logo.png)
Anonymous messaging systems (and other privacy-preserving applications) often require a mechanism for one party
to learn that another party has messaged them ("notifications").

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#![feature(const_generics)]
#![doc(include = "../README.md")]
#![doc(include = "../ANONYMITY.md")]
#![doc(html_logo_url = "https://git.openprivacy.ca/openprivacy/fuzzytags/media/branch/trunk/FuzzyTags_Logo.png")]
use bit_vec::BitVec;
use curve25519_dalek::constants::RISTRETTO_BASEPOINT_POINT;
use curve25519_dalek::digest::Digest;