In [1] Ron Wilson examines two models almost in the same terms ("Internal security" and "Guarding the perimeter"), but the third is different > That brings us

In [1] Ron Wilson examines two models almost in the same terms ("Internal security" and "Guarding the perimeter"), but the third is different > That brings us to our third—and today, still experimental—alternative: deep learning. Connect the critical state variables of the system to a deep-learning neural network. Train the network with a blend of normal operation, known attacks, and randomly injected faults. You may never know how the resulting network operates, and you can’t prove that the network is sufficient or even correct. But in complex systems it is likely to out-perform human-devised rule lists [1] http://systemdesign.altera.com/system-security-a-model-from-medieval-history/ http://systemdesign.altera.com/system-security-a-model-from-...