基于分布式压缩感知和散列函数的数据融合隐私保护算法 postprint

Abstract: Aiming at the security problems existing in the process of the data aggregation and transmission in crowd sensing networks, such as privacy leakage, incomplete information, data tampering. this paper proposed a data aggregation privacy protection algorithm based on distributed compressive sensing and hash function. Firstly, it used distributed compressive sensing method to sparsely observe the sensed data and remove the redundant data. Then, it utilized one-way hash function to obtain hash value of the observation data and filled the hash value with the unconstrained camouflage data into the observation data of sensory data to reach the aim of concealing the true sensor data. Finally, after extracting the camouflage data at the sink node, it obtained the hash value of the observation data again to verify the integrity of data. Simulation results show that the algorithm takes into account the privacy preserving and integrity protecting of data, and also can reduce the communication overhead greatly, which means the strong applicability and scalability in practical applications.