Privacy protection MAX / MIN query method for WSNs leased environment

Abstract

The invention discloses a privacy protection MAX / MIN query method for WSNs leased environment, including two steps of mask allocation and query processing. The mask allocation initializes the data query protocol by assigning a local mask to each sensor node to ensure data privacy during the querying process. The query processing includes query instruction broadcasting, multiple rounds of collaborative computation of the sensor nodes and the proxy nodes, and the query result obtainment and feeding back of the three processing procedures to the user by the proxy nodes. The protocol flow of the method is simple and easy to implement; the security is high and the privacy security of the perceived data is effectively ensured; and the communication cost is low during the execution of the query processing, which is favorable for improving the utilization ratio of network resources and prolonging the life cycle of the network.

Description

Technical field [0001] The invention relates to the technical field of wireless sensor network security, in particular to a privacy protection MAX / MIN query method for WSNs (Wireless Sensor Networks, wireless sensor network) leased environment. Background technique [0002] At present, wireless sensor networks have been widely used in various important fields such as medical and health, environmental monitoring, intelligent transportation, national defense and military. With the widespread application of wireless sensor networks, WSNs leased services have also shown a certain application promotion value. The data query service in leased WSNs is a wireless sensor network query with special requirements. In rented WSNs, the data collected or processed by the sensing nodes in the network belongs to the private information of the network owner, while the query request result belongs to the network public information. When the user rents the network data query function from the networ...

AI Technical Summary

Problems solved by technology

Therefore, these existing secure Top-k query methods are not suitable for solving privacy-preserving MAX / MIN queries

Secondly, none of the existing Top-k queries are based on rentable WSNs, which is fundamentally different from the network model of the present invention

[0007] Paper "Samanthula B K, Wei J, Madria S.A Probabilistic Encryption Based MIN / MAX Computation in Wireless Sensor Networks.14th International Conference on Mobile Data Management, 2013:77-86", "Yao Y, Ma L, Liu J. Privacy-preserving MAX / MIN Aggregation in Wireless Sensor Networks. Advances in InformationSciences and Service Sciences, 2012, 4(6): 272-295" and "Groat M M, Hey W, Forrest S. KIPDA: k-indistinguishable privacy-preserving data aggregation in wireless sensor networks. Proceedings of 30th IEEE International Conference on Computer Communications, 2011:2024-2032” Although they all realized privacy-preserving MAX / MIN queries in traditional sensor networks, they were not based on WSNs leased environment

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