Monte Carlo Simulation Approach to Network Access Control

Access is an important security platform that restrict access to only authorized entities thereby preventing unauthorized modification, alteration and removal of information. In network environment, there is need to protect the integrity of legitimate users, server providers and the connecting nodes. Thus, network access control secures an organization network such that sensitive data is protected from cyber threats. Network access control encrypts data traffic, control permissions and protects every endpoint on the network. It is therefore to secure the network with a structure that predetermine threats. Monte Carlo Simulation is a heuristic algorithm that predict perfect approach in an unknown circumstance to maximize the decision making of the tool. The simulation uses the state of requesting user's device as parameters for the Monte Carlo Simulation. The requesting user's device include model, registration, certification, access time, location among others. The simulation involves series of iterations that passes through four basic phases of selection, expansion, rollout and updating. Consequently, the decision to grant or deny access to user was achieved by obtaining result from the most rewarding node during iteration.