How to Store Secrets Robustly Across Complex Networks

Robust Secret Storage in Networks

I introduce a formal framework for distributed secret storage that balances survivability against network degradation with resistance to adversarial compromise. By deriving an exact representation using minimal information-carrying subgraphs, I develop semi-local optimization methods requiring no global network knowledge. Finally, I demonstrate how this robustness functional maps naturally to an effective spin Hamiltonian in limiting cases.

"The problem is formulated as the optimization of a robustness functional in which two competing requirements are balanced: survivability under network-degrading processes and resistance to adversarial compromise."