Add initial background mumblings; more work tomorrow

svn:r586
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Nick Mathewson 2003-10-14 05:29:03 +00:00
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@ -167,13 +167,78 @@ open problems.
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\Section{Threat model and background}
\Section{Background and threat model}
\label{sec:background}
\SubSection{Related work}
\label{sec:related-work}
Modern anonymity designs date to Chaum's Mix-Net\cite{chaum-mix} design of
1981. Chaum proposed hiding sender-recipient connections by wrapping
messages in several layers of public key cryptography, and relaying them
through a path composed of Mix servers. Mix servers in turn decrypt, delay,
and re-order messages, before relay them along the path towards their
destinations.
Subsequent relay-based anonymity designs have diverged in two principal
directions. Some have, such as Babel\cite{babel}, Mixmaster\cite{mixmaster},
and Mixminion\cite{minion-design}, attempt to maximize anonymity at the cost
of introducing comparatively large and variable latencies. Because of this
decision, such \emph{high-latency} networks are well-suited for anonymous
email, but introduce too much lag for interactive tasks such as web browsing,
internet chat, or SSH connections.
Tor belongs to the second category: \emph{low-latency} designs that attempt
to anonymize interactive network traffic. Because such traffic tends to
involve a relatively large numbers of packets, it is difficult to prevent an
attacker who can eavesdrop entry and exit points from correlating packets
entering the anonymity network with packets leaving it. Although some
work has been done to frustrate these attacks, they still...
[XXX go on to explain how the design choices implied in low-latency result in
significantly different designs.]
The simplest low-latency designs are single-hop proxies such as the
Anonymizer, wherein a single trusted server removes identifying users' data
before relaying it. These designs are easy to analyze, but require end-users
to trust the anonymizing proxy.
More complex are distributed-trust, channel-based anonymizing systems. In
these designs, a user establishes one or more medium-term bidirectional
end-to-end tunnels to exit servers, and uses those tunnels to deliver a
number of low-latency packets to and from one or more destinations per
tunnel. Establishing tunnels is comparatively expensive and typically
requires public-key cryptography, whereas relaying packets along a tunnel is
comparatively inexpensive. Because a tunnel crosses several servers, no
single server can learn the user's communication partners.
[XXX give examples.]
[XXX Everybody I know except Crowds and gnunet is in this category. Am I
right?]
[XXX Should we add a paragraph dividing servers by all-at-once approach to
tunnel-building (OR1,Freedom1) versus piecemeal approach
(OR2,Anonnet?,Freedom2) ?]
Distributed-trust anonymizing systems differ in how they prevent attackers
from controlling too many servers and thus compromising too many user paths.
Some protocols rely on a centrally maintained set of well-known anonymizing
servers. Others (such as Tarzan and MorphMix) allow unknown users to run
servers, while using a limited resource (DHT space for Tarzan; IP space for
MorphMix) to prevent an attacker from owning too much of the network.
[XXX what else? What does (say) crowds do?]
Channel-based anonymizing systems also differ in their use of dummy traffic.
[XXX]
Finally, several systems provide low-latency anonymity without channel-based
communication. Crowds and [XXX] provide anonymity for HTTP requests; [...]
[XXX Mention error recovery?]
anonymizer
pipenet
freedom
onion routing
freedom v1
freedom v2
onion routing v1
isdn-mixes
crowds
real-time mixes, web mixes
@ -184,18 +249,43 @@ gnunet
rewebbers
tarzan
herbivore
hordes
cebolla (?)
[XXX Close by mentioning where Tor fits.]
\SubSection{Our threat model}
\label{subsec:threat-model}
\SubSection{Known attacks against low-latency anonymity systems}
\label{subsec:known-attacks}
We discuss each of these attacks in more detail below, along with the
aspects of the Tor design that provide defense. We provide a summary
of the attacks and our defenses against them in Section \ref{sec:attacks}.
Passive attacks:
simple observation,
timing correlation,
size correlation,
option distinguishability,
Active attacks:
key compromise,
iterated subpoena,
run recipient,
run a hostile node,
compromise entire path,
selectively DOS servers,
introduce timing into messages,
directory attacks,
tagging attacks
\Section{Design goals and assumptions}
\label{sec:assumptions}
[XXX Perhaps the threat model belongs here.]
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\Section{The Tor Design}