能量均衡的数据融合隐私保护算法研究

Research on Energy-balanced Data Fusion Privacy-preserving Algorithm

针对传感器节点能耗不均的问题进行研究,为提高数据安全保护强度,提出一种簇间节点能量保持均衡的数据融合隐私保护算法。通过分簇路由均衡各节点能量,延长网络生命周期,利用同态Hash函数保护数据完整性,并引入簇组密钥,以降低节点数据被破译的概率,加强对隐私数据的保护。实验结果表明,与现有的基于向量秘钥的数据融合保护算法相比,该算法具有较高的安全性和较长的网络生命周期。

Aiming at the energy consumption inequality of sensor nodes, and to improve data security protection intensity, this paper puts forward a data fusion privacy-preserving algorithm with balancing cluster node energy. Through clustering routing to balance each node energy,it prolongs the network life cycle,uses the homomorphism Hash function to protect data integrity, introduces cluster group key to reduce the probability of node data to be deciphered, and strengthens the protection of private data. Experimental results show that, compared with the existing protection data fusion algorithm based on vector secret key, the algorithm has higher security and longer network lifetime.