[freehaven-cvs] a few more patches

[arma@seul.org (Roger Dingledine)]

Update of /home/freehaven/cvsroot/doc/sync-batching
In directory moria.mit.edu:/home2/arma/work/freehaven/doc/sync-batching

Modified Files:
	sync-batching.pdf sync-batching.tex 
Log Message:
a few more patches


Index: sync-batching.pdf
===================================================================
RCS file: /home/freehaven/cvsroot/doc/sync-batching/sync-batching.pdf,v
retrieving revision 1.18
retrieving revision 1.19
diff -u -d -r1.18 -r1.19
Binary files /tmp/cvsekIRfK and /tmp/cvs65E86n differ

Index: sync-batching.tex
===================================================================
RCS file: /home/freehaven/cvsroot/doc/sync-batching/sync-batching.tex,v
retrieving revision 1.52
retrieving revision 1.53
diff -u -d -r1.52 -r1.53
--- sync-batching.tex	11 Apr 2004 06:57:51 -0000	1.52
+++ sync-batching.tex	11 Apr 2004 23:04:58 -0000	1.53
@@ -644,7 +644,7 @@
 $\ell=4$, that users deliver 128 messages every 3 hours, and that users
 will tolerate a latency of 3--6 hours (which is on par with the latency
 experienced by a typical Mixmaster message, though
-they could be much longer in theory).
+it could be much longer in theory).
 
 We can compute the maximum flow rate (traffic in unit time) through
 any given node. Assume that sending a message over a single hop
@@ -765,7 +765,7 @@
 message for a given size mixnet batch. We must be sure to consider
 robustness when comparing topologies.
 
-\begin{table} \caption{Percent of messages delivered}
+\begin{table} \caption{Percent of messages delivered vs number of crashed nodes}
 \label{table:expected-delivery}
 \renewcommand{\arraystretch}{1.3}
 \begin{center}
@@ -853,8 +853,10 @@
 For a stratified network, if any entry node fails, the number of
 messages drops by one quarter, causing a reduction in entropy of .42.
 If two entry nodes fail, the entropy drops by 1. If 3 entry nodes
-fail, entropy drops by 2. If all fail, entropy remains the same as if
-none fail.  If a second layer node fails, assuming a balanced
+fail, entropy drops by 2. If all fail, the adversary learns nothing more
+than if none fail.
+%entropy remains the same as if none fail.
+If a second layer node fails, assuming a balanced
 layer-two distribution, anonymity of all messages is unaffected since
 there is no change to the probability that an exiting message was any
 incoming message. Note this is so even if the distribution of messages

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