群智感知网络中基于隐私保护的数据融合方法

Data fusion method based on privacy preserving in crowd sensing network

为解决多源数据的融合问题,保证融合数据的隐私安全,提出一种群智感知网络中基于隐私保护的数据融合方法。用户使用密钥签署其感知数据,通过差分隐私为数据添加噪声,云服务器采用BGN加密系统和Shamir秘密共享相结合的方式,将加密受干扰的数据进行融合发送给感知平台。安全与隐私分析结果表明,该方法能够抵抗来自云服务器和恶意用户的差分攻击,保证用户和云服务器的茫然性安全;性能评估表明,该方法能够高效计算、通信和存储开销。

To solve the problem of the multi-source data fusion and ensure the privacy of the converged data,a data fusion method based on privacy preserving was proposed in crowd sensing network.The users used the key to sign their sensing data and added the noise into the data through the differential privacy.Combining Boneh-Goh-Nissim(BGN)crypto system with Shamir secret sharing,the cloud server fused the encrypted interference data and sent them to the sensing platform.The security and privacy analysis shows that the proposed method can resist the differential attacks from the cloud servers and the malicious users and ensure the oblivious nesssecurity of the users and the cloud servers.The performance evaluation shows that the method has efficient computing,communication and storage overhead.