基于差分隐私的群智频谱感知算法

Spectrum sensing algorithm based on differential privacy

认知无线电的关键技术是频谱感知,将保护隐私的激励机制与协作频谱感知结合起来,有助于提高频谱检测的准确性。文中引入了差分隐私的概念,将指数机制应用于平台与用户间的反向拍卖,提出了一种具有隐私保护的基于拍卖的频谱感知算法。平台选择获胜用户时将用户的信誉值考虑在内,并且使用了一种基于指数机制的线性得分函数选择最优的用户集。仿真结果表明,该激励机制在保护用户隐私前提下,实现检测概率的优化。

The key technology of cognitive radio is spectrum sensing.Combining the privacy⁃protecting incentive mechanism with cooperative spectrum sensing helps to improve the accuracy of the spectrum detection.This paper introduces the concept of differential privacy,applies the exponential mechanism to the reverse auction between the platform and the user,and proposes an auction⁃based spectrum sensing algorithm with the privacy protection.The platform considers the user reputation when selecting the winning users,and uses a linear scoring function based on the exponential mechanism to select the best user set.Simulation results show that the incentive mechanism can optimize the detection probability under the premise of protecting user privacy.