Credence
http://www.cs.cornell.edu/People/egs/credence/
Quoting:
Much of the content in peer-to-peer filesharing networks is
corrupt, damaged, or mislabeled. Such polluted content makes
it difficult for correctly functioning peers to locate desired
content, decreasing the overall usefulness of the network.
Credence is a practical distributed reputation system, designed
to counteract content pollution in peer-to-peer filesharing
systems. Credence enables a peer to determine the authenticity of
online content; that is, how accurate the purported description
of the object matches the object itself. Participants in the
Credence network vote on objects; Credence collates these votes,
and weights them by a novel similarity measure which weighs highly
votes from like-minded peers while discounting the votes from
peers engaged in vote-spamming. This novel voter correlation
scheme provides an incentive for peers to vote honestly and
mitigates the impact of dishonest peers.
We have implemented Credence on top of the LimeWire client for
the Gnutella network. Our client provides a peer-based judgement
that a given object will possess the properties with which it
is labeled and enables users to evaluate search results for
authenticity before downloading.
Many peer-to-peer reputation schemes have been proposed in
academia. Credence is the first practical implementation of a
peer-to-peer reputation scheme. As future systems become more
connected and endpoints become more reliant on content provided
by other nodes, reputation systems like Credence can play an
important role in assessing the validity of remote content.
Consider the possible applicability of this to "systems observed to be
emitting SMTP traffic" where human "voters" are replaced by spamtraps
and similar.
I'm not claiming that this is "the answer" by any means. I do think
it's an interesting approach to a similar problem.
---Rsk
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