数据融合中隐私保护完整性验证算法研究

Research on Privacy Preserving Integrity Verification Algorithm in Data Fusion

无线传感器网络数据融合过程中面临着隐私泄露、信息不完整、数据篡改方面的严峻挑战,在保护数据隐私性的同时进行完整性验证是数据融合领域研究的热点之一。针对数据融合中信息不完整的问题,设计了一种基于数据融合隐私保护完整性验证算法(privacy preserving integrity-verification algorithm,PPIA)。该算法利用节点构造密码对,使用密码对采集的数据进行签名和加密运算,以确保数据的完整性和隐私性;为了降低通信开销,对签名结果采用Bayes网络的有向无环图模型进行融合。将融合结果传送至基站,由基站运用明码和密码签名的数据进行完整性验证,若消息在传输过程中被篡改或者伪造,则基站能够及时检测并丢弃,确保了数据在融合过程中的安全性。仿真结果表明,PPIA算法的安全性、隐私性和完整性都有显著提高。

The severe challenges such as privacy leakage, incomplete information, data tampering are faced in data fusion of wireless sensor networks. Integrity verification while protecting data privacy is one of the hotspots in the field of data fusion. Aiming at the problem of incomplete information in data fusion, we design a privacy preserving integrity verification algorithm （PPIA） based on data fusion. It uses the nodes to construct the password pair and the data collected by password pair to carry on the signature and the encryption computation in order to ensure the data integrity and privacy. To reduce the communication overhead, the signature result is fused by directed acyclic graph model of Bayes network. The fusion result is transmitted to the base station, the use of codes and cipher signature by the base station for data integrity verification. If the message in the transmission process is tampered or forged, the base station can detect and discard, ensuring the security of the data in the fusion process. The simulation shows that the security, privacy and integrity of PPIA algorithm are improved significantly