Incentive Attack Prevention for Collaborative Spectrum Sensing: A Peer-Prediction Method
This paper proposes an incentive method using Private-Prior Peer-Prediction with approximate subjective priors to identify and punish malicious users in collaborative spectrum sensing, thereby improving detection rates even with numerous attackers, by rewarding honest reporting and penalizing falsified data.
Dec 15, 2015