come up with a plan for publishing ip-to-country usage summaries

svn:r12642
This commit is contained in:
Roger Dingledine 2007-12-03 06:03:56 +00:00
parent c8b4d43262
commit 628697acfa

View File

@ -205,7 +205,7 @@ Status: Needs-Research
6. Controllers use the IP-to-country db for mapping and for path building
Down the road, vidalia can use the IP-to-country mappings for placing
Down the road, Vidalia could use the IP-to-country mappings for placing
on its map:
- The location of the client
- The location of the bridges, or other relays not in the
@ -222,6 +222,14 @@ Status: Needs-Research
GETINFO ip-to-country/128.31.0.34
250+ip-to-country/128.31.0.34="US","USA","UNITED STATES"
6.1. Other interfaces
Robert Hogan has also suggested a
GETINFO relays-by-country/cn
as well as torrc options for ExitCountryCodes, EntryCountryCodes,
ExcludeCountryCodes, etc.
7. Relays and bridges use the IP-to-country db for usage summaries
Once bridges have a GeoIP database locally, they can start to publish
@ -231,5 +239,156 @@ Status: Needs-Research
switch to using directory guards for all users by default.
But how to safely summarize this information without opening too many
anonymity leaks seems hard...
anonymity leaks?
7.1 Attacks to think about
First, note that we need to have a large enough time window that we're
not aiding correlation attacks much. I hope 24 hours is enough. So
that means no publishing stats until you've been up at least 24 hours.
And you can't publish follow-up stats more often than every 24 hours,
or people could look at the differential.
Second, note that we need to be sufficiently vague about the IP
addresses we're reporting. We are hoping that just specifying the
country will be vague enough. But a) what about active attacks where
we convince a bridge to use a GeoIP db that labels each suspect IP
address as a unique country? We have to assume that the consensus GeoIP
db won't be malicious in this way. And b) could such singling-out
attacks occur naturally, for example because of countries that have
a very small IP space? We should investigate that.
7.2. Granularity of users
Do we only want to report countries that have a very small anonymity set
(that is, number of users) for the day? For example, we might avoid
listing any countries that have seen less than five addresses over
the 24 hour period. This approach would be helpful in reducing the
singling-out opportunities -- in the extreme case, we could imagine a
situation where one blogger from the Sudan used Tor on a given day, and
we can discover which entry guard she used.
But I fear that especially for bridges, seeing only one hit from a
given country in a given day may be quite common.
As a compromise, we should start out with an "Other" category in
the reported stats, which is the sum of unlisted countries; if that
category is consistently interesting, we can think harder about how
to get the right data from it safely.
But note that bridge summaries will not be made public individually,
since doing so would help people enumerate bridges. Whereas summaries
from normal relays will be public. So perhaps that means we can afford
to be more specific in bridge summaries? In particular, I'm thinking the
"other" category should be used by public relays but not for bridges
(or if it is, used with a lower threshold).
Even for countries that have many Tor users, we might not want to be
too specific about how many users we've seen. For example, we might
round down the number of users we report to the nearest multiple of 5.
My instinct for now is that this won't be that useful.
7.3 Other issues
Another note: we'll likely be overreporting in the case of users with
dynamic IP addresses: if they rotate to a new address over the course
of the day, we'll count them twice. So be it.
7.4. Where to publish the summaries?
We designed extrainfo documents for information like this. So they
should just be more entries in the extrainfo doc.
But if we want to publish summaries every 24 hours (no more often,
no less often), aren't we tried to the router descriptor publishing
schedule? That is, if we publish a new router descriptor at the 18
hour mark, and nothing much has changed at the 24 hour mark, won't
the new descriptor get dropped as being "cosmetically similar", and
then nobody will know to ask about the new extrainfo document?
One solution would be to make and remember the 24 hour summary at the
24 hour mark, but not actually publish it anywhere until we happen to
publish a new descriptor for other reasons. If we happen to go down
before publishing a new descriptor, then so be it, at least we tried.
7.5. What if the relay is unreachable or goes to sleep?
Even if you've been up for 24 hours, if you were hibernating for 18
of them, then we're not getting as much fuzziness as we'd like. So
I guess that means that we need a 24-hour period of being "awake"
before we'll willing to publish a summary. A similar attack works if
you've been awake but unreachable for the first 18 of the 24 hours. As
another example, a bridge that's on a laptop might be suspended for
some of each day.
This implies that some relays and bridges will never publish summary
stats, because they're not ever reliably working for 24 hours in
a row. If a significant percentage of our reporters end up being in
this boat, we should investigate whether we can accumulate 24 hours of
"usefulness", even if there are holes in the middle, and publish based
on that.
What other issues are like this? It seems that just moving to a new
IP address shouldn't be a reason to cancel stats publishing, assuming
we were usable at each address.
7.6. IP addresses that aren't in the geoip db
Some IP addresses aren't in the public geoip databases. In particular,
I've found that a lot of African countries are missing, but there
are also some common ones in the US that are missing, like parts of
Comcast. We could just lump unknown IP addresses into the "other"
category, but it might be useful to gather a general sense of how many
lookups are failing entirely, by adding a separate "Unknown" category.
We could also contribute back to the geoip db, by letting bridges set
a config option to report the actual IP addresses that failed their
lookup. Then the bridge authority operators can manually make sure
the correct answer will be in later geoip files. This config option
should be disabled by default.
7.7 Bringing it all together
So here's the plan:
24 hours after starting up (modulo Section 7.5 above), bridges and
relays should construct a daily summary of client countries they've
seen, including the above "Unknown" category (Section 7.6) as well.
Non-bridge relays lump all countries with less than K (e.g. K=5) users
into the "Other" category (see Sec 7.2 above), whereas bridge relays are
willing to list a country even when it has only one user for the day.
Whenever we have a daily summary on record, we include it in our
extrainfo document whenever we publish one. The daily summary we
remember locally gets replaced with a newer one when another 24
hours pass.
7.8. Some forward secrecy
How should we remember addresses locally? If we convert them into
country-codes immediately, we will count them again if we see them
again. On the other hand, we don't really want to keep a list hanging
around of all IP addresses we've seen in the past 24 hours.
Step one is that we should never write this stuff to disk. Keeping it
only in ram will make things somewhat better. Step two is to avoid
keeping any timestamps associated with it: rather than a rolling
24-hour window, which would require us to remember the various times
we've seen that address, we can instead just throw out the whole list
every 24 hours and start over.
We could hash the addresses, and then compare hashes when deciding if
we've seen a given address before. We could even do keyed hashes. Or
Bloom filters. But if our goal is to defend against an adversary
who steals a copy of our ram while we're running and then does
guess-and-check on whatever blob we're keeping, we're in bad shape.
We could drop the last octet of the IP address as soon as we see
it. That would cause us to undercount some users from cablemodem and
DSL networks that have a high density of Tor users. And it wouldn't
really help that much -- indeed, the extent to which it does help is
exactly the extent to which it makes our stats less useful.
Other ideas?