Attacking with Attractors
Now, back to the question of sunflowers versus bricks. Yes, the relevance of the pretty pictures goes beyond visual delight for hard-core computer geeks. As it turns out, the attractor structure captured for each system creates a matrix of possible ISN behavior patterns, with densities that correspond to probabilities of a specific type of time dependency or statistical pattern appearing over time. Higher-density regions within the attractor correspond to historical correlations, which are also more likely to occur in the future; less populated areas are less likely to be visited. As such, once the approximate attractor for a specific system is mapped out, the attacker can guess at future results. But how, precisely, ...
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