A Markov Chain Model for evaluating the effectiveness of randomized surveillance procedures
CA (United States) Lawrence Livermore National Lab., T Edmunds, USDOE, Washington, DC (United States) · 1994
A Markov Chain Model has been developed to evaluate the effectiveness of randomized surveillance procedures. The model is applicable for surveillance systems that monitor a collection of assets by randomly selecting and inspecting the assets. The model provides an estimate of the detection probability as a function of the amount of time that an adversary would require to steal or sabotage the asset. An interactive computer code has been written to perform the necessary computations.