TODO for source:
   . Make output easily parsed by Python
   o Make sure that Alice can send dummies either by an indep or
     dependant distribution.
   - Output data for additional displays.
   - Use correct rule for unknown-background nonbatch cases.
   - Configure the obscurity of Alice's recipients in smallworld mode.
   - Make partial-observation on entry != partial-observation on exit.
   - Select simulations from command line by name/number.
   - Simulation for full/partial linkability.

Simulations:
        1  Original statisticatl disclosure attack.
            Mix=Batch, Alice=SD, Background=SD.
            (class: SDTrial)

	    Variables: b, m, N.

        2  Attack with realistic network model and unknown background.
            Mix=Batch, Alice=SmallWorld, Background=SmallWorld.
            (class: UnkBGBatchTrial)

	    Additional variables: frequency of alice sending,
	    connectedness of Alice's recipients.  (plus vars from (1))

        3  Attack a timed dynamic-pool mix
            Mix=1mix, Alice=SmallWorld, Background=Smallworld
            (class: DelayMixTrial)

	    Additional variables: mix algorithm, mix algorithm
	    parameters, freq. of Alice sending. (plus vars from (2))

	    Additional display: histogram of latency.

	4  Attack a mixnet
            Mix=mixnet, Alice=SmallWorld, Background=Smallworld
            (class: DelayMixTrial)

        5  The impact of dummy traffic.
            Mix=mixnet, Alice=SmallWorld+dummies, Background=Smallworld+dummies

	    Additonal variables: Dummy approach and volume, probability that
	    Alice forgets to send. (plus vars from (3))

        6  The impact of partial observation
            Mix=po_mixnet, Alice=SmallWorld+dummies, 
            Background=Smallworld+dummies
            (class: PO_DelayMixTrial)

 	    Additional variables: probability of observing incoming msgs,
	    probability of observing outgoing messatges (plus vars from (3),
	    (4)).
	
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        7  Nymservice
        8  Fragmented community
        9  Suspicious user