<div>Emerging of Cognitive Radio (CR) technology has</div>


<div>provided optimistic solution for the dearth of spectrum by</div>


<div>improving the spectrum utilization. The opportunistic use of the
spectrum is enabled by spectrum sensing which is one of the key
functionality of CR systems. To perform the interference free
transmission in a cognitive radio networks, an important part for
unlicensed user is to identify a licensed user with the help of spectrum
sensing. Recently, the Cooperative Spectrum Sensing has been widely used
in the literature where various scattered unlicensed users collaborate
with each other to make the final sensing decision. This overcome the
hidden terminal problem</div>


<div>and also improve the overall reliability of the decisions made</div>


<div>about the presence or absence of a licensed user. Each unlicensed user
send the sensing results to the base station for final decision. However
there exist some nodes which do not provide the correct sensing results
to maximize their own profit which can highly degrade the CR network
functionality. In this paper, a trust aware model is proposed for
detection of misbehaving nodes such that their sensing reports can be
filter out from the final result. The performance evaluation of the
proposed scheme is done by checking its robustness and efficiency
against various possible attacks.</div>