Research On Data Privacy Preservation Of Data Query In WSN

Wireless Sensor Networks has been widely used in variety of fields like smart healthcare, intelligent transportation, environmental monitoring and so on. Currently, twotiered sensor networks has been widely applied in Wireless Sensor Networks. The network administrator gets the real-time status of the monitored object by the way of data query. The two-tiered sensor networks has good scalability and could extend the network's average life. The master node in the two-tiered sensor networks is a place to store sensor data and to process query, which is more likely to be captured by malicious attacker. If the master node is comprised, sensor data is easily leaked and the integrity of query results may be broken. Hence, the existing problem in data query that needs to be solved immediately is how to preserve data's privacy and integrity of query results. Topk query and range query are used commonly in data query. This thesis conducts research on preserveing data's privacy and integrity of query results of Top-k query and range query. The details of research works and innovation are as follows:1. Aim at the data privacy and integrity preserving of Top-k query, this thesis presents a data privacy and integrity preserving scheme for Top-k query. To preserve the privacy of sensor data, this scheme processes the sensor data by public scoring function, which allows master nodes to execute Top-k queries correctly without accessing the plaintext of sensor data. To preserve the integrity of Top-k query results, firstly this scheme orders the sensor data in ascending, then puts the backup of sensor data's following data on the back of the each sensor data, finally segments the redundant sensor data sequence into each of two groups before encrypted and creating an encrypted data chains.2. Aim at the data privacy and integrity preserving of range query, this thesis presents a data privacy and integrity preserving scheme for range query.To preserve privacy, this scheme encode the upper and lower bounds of sensor data's interval and query range, which enable master nodes to process range queries correctly without decrypting the sensor data and query range. To preserve integrity of range query results, this scheme processes the set of sensor data by hash function and embeds all hash value in previous set as a label, which generating a digital watermarking chains.To sum up, this thesis conducts research on Top-k query and range query from data privacy preserving and integrity of query results respectively.