Fuzzy Algorithm to Mitigate Risk in the Assignment of Roles in a Wireless Network
This paper is presenting a method of defining a fuzzy membership function which helps in role assignment for wireless network. There is a risk involved in assigning roles dynamically as there can be a false negative or in other words an intruder is permitted into the system. The present proposal addresses this issue to mitigate the risk involved and overcome the false negative and false positive issues involved in assigning the roles. The trapezoidal distribution is defined by minimum, lover mode, upper, and maximum parameters.