Simulations for Deep Random Secrecy Protocol

Abstract

We present numerical simulations measuring secrecy and efficiency rate of Perfect Secrecy protocol presented in former article named Perfect Secrecy under Deep Random assumption. Those simulations specifically measure the respective error rates of both legitimate partner and eavesdropper experimented during the exchange of a data flow through the protocol. Those measured error rates also enable us to estimate a lower bound of the Crytpologic Limit introduced in article named Perfect Secrecy under Deep Random assumption. We discuss the variation of the protocol parameters and their impact on the measured performance.