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tex: extend section on hibp integration

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surtur 2023-08-18 18:03:55 +02:00
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@ -705,22 +705,38 @@ records would be dropped entirely.
Troy Hunt's \textbf{Have I Been Pwned?} online service
(\url{https://haveibeenpwned.com/}) has been chosen as the online source of
compromised data. The service offers public APIs that are protected by API keys
due to abuse-prevention reasons.
compromised data. The service offers public APIs, which were originally (and it
was the intention of their author that they stay that way) provided free of
charge and with little-to-no rate-limiting. A major overhaul in this regard has
been revealed in November of 2022, where in addition to a new rate-limit
system, different-levels-of-symbolic fees were introduced to obtain the API
keys. These Apparently, the top consumers of the API seemed to utilise it
orders of magnitude more than the average person, which led Hunt to devising a
new, tiered API access system in which the \emph{little guys} would not be
subsidising the \emph{big guys}\cite{hibpBillingChanges}. Additionally, the
symbolic fee of \$3.50/mo for the entry-level, 10 requests per minute API key
was meant to serve as a small barrier for (mis)users with nefarious purposes,
but pose practically no obstacle for \emph{legitimate} users, which is entirely
reasonable.
The application's \texttt{hibp} module and database representation models
the values returned by this API, which allows searching in large breaches using
email addresses.
The application's \texttt{hibp} module and database representation attempts to
model the values returned by this API and declare actions to be performed upon
the data, which is what facilitates the breach search functionality in the
program.
The architecture there is relatively simple: the application administrator
configures an API key for the HIBP service, the user enters the query
parameters, the application constructs a query, calls the API and waits for a
response. As the API is rate-limited based on the key supplied, this can pose
an issue and it has not been fully resolved in the UI. The application then
parses the returned data and binds it to the local model for validation. If
that goes well, the data is saved into the database as a cache and the search
query is performed on the saved data. If it returns anything, it is displayed
to the user for browsing.
The architecture is relatively simple: the application administrator configures
an API key for the HIBP service via the management interface, the user enters
the query parameters and the application then constructs the API call that is
sent to the API, awaiting the response. As the API is rate-limited
(individually, based on the API key supplied), this \emph{could} pose an issue
at high utilisation times, and thus needs to be handled in the backend as well
as in the UI.
After a response from the API server arrives, the application parses the
returned data and attempts to \emph{bind} it to the pre-programmed \emph{model}
for validation. If the data can be successfully validated, it is saved into the
database as a cache and the search query is performed on the saved data. The
result is then displayed to the user for browsing.
\n{1}{Deployment recommendations}\label{sec:deploymentRecommendations}

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@ -413,4 +413,12 @@ institution = {International Organization for Standardization}
note={{Available from: \url{https://developers.redhat.com/blog/2019/01/15/podman-managing-containers-pods} [viewed 2023-07-24]}}
}
@misc{hibpBillingChanges,
author = {{Troy Hunt}},
year = 2022,
title = {{The Have I Been Pwned API Now Has Different Rate Limits and Annual Billing}},
howpublished = {[online]},
note={{Available from: \url{https://www.troyhunt.com/the-have-i-been-pwned-api-now-has-different-rate-limits-and-annual-billing/} [viewed 2023-08-15]}}
}
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