Secure Voting Scheme for Cooperative Sensing

Opportunistic access to the free spectrum holes of the primary users (PUs) by the secondary users (SUs) is a serious issue, to achieve maximum utilization of the channel. One way to achieve accuracy in the sensing results is to use Cooperative spectrum sensing (CSS). However, the participation of malicious users (MUs) can severely reduce the usefulness of cooperation. In this paperwork, we discuss two different schemes to improve sensing results of the hard fusion combinations in the occurrence of MUs, that report false sensing information to the fusion center (FC). A comparative analysis of the hard fusion combination is investigated between double-sided neighbor distance (DSND) and minimum mean and z-score (MMZ) algorithms. Results show a better estimation of the licensed (PU) channel by the MMZ algorithm compared with the DSND and simple hard fusion combinations both with and without consideration of any MU in a cooperative environment.