The Data Aggregation Privacy Protection Algorithm of Body Area Network Based on Data Partitioning

Abstract

As a new network, the body area network is widely used in the field of health care, emergency rescue and so on. In the practical application, a large number of data collected by the body area network are closely related to user's personal privacy. However the body area network is an open environment. When transmitted in the network, the user's privacy data is vulnerable to the attacker's eavesdropping, tampering and other security threats. At the present stage, the research of the body area network mainly focuses on the system architecture and node energy consumption, the studies of security aspect of user privacy data is relatively few. This paper puts forward The data aggregation privacy protection algorithm of body area network based on data partitioning based on the above problem, this algorithm uses data partitioning strategy to deal with privacy data, and combines encryption theory to achieve security aggregation of user privacy data of the body area network security aggregation. The result not only improves effectively the privacy protection of the user data of body area network, but also reduces data redundancy and the traffic of the nodes.