SEMR: Secure and Efficient Multi-dimensional Range Query Processing in Two-tiered Wireless Sensor Networks

2015 ◽  
pp. 520-524 ◽  
Author(s):  
Lei Dong ◽  
Jianxiang Zhu ◽  
Xiaoying Zhang ◽  
Hong Chen ◽  
Cuiping Li ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Query Processing ◽  
Range Query ◽  
Wireless Sensor ◽  
Range Query Processing ◽  
Dimensional Range

scholarly journals VP2RQ: Efficient verifiable privacy-preserving range query processing in two-tiered wireless sensor networks

2016 ◽  
Vol 12 (11) ◽  
pp. 155014771667562 ◽  
Author(s):  
Hua Dai ◽  
Qingqun Ye ◽  
Xun Yi ◽  
Ruiliang He ◽  
Geng Yang ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Query Processing ◽  
Range Query ◽  
Privacy Preserving ◽  
Wireless Sensor ◽  
Range Query Processing

scholarly journals Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Liming Zhou ◽  
Yingzi Shan ◽  
Lu Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Query Processing ◽  
Location Privacy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensitive Data ◽  
Verification Method ◽  
Efficient Scheme ◽  
Range Query Processing

In wireless sensor networks, preserving privacy is more important and has attracted more attentions. Protecting data and sensor privacy while collecting and computing query results is a challenge. In cluster-based sensor networks, when a user queries a sensitive data, the adversaries can monitor original node or gain the data in cluster node. To deal with this problem, we propose a secure and efficient scheme for cluster-based query processing in wireless sensor networks. To preserve location privacy of sensors, we use anonymity method to confuse adversaries. To protect the sensitive data, we use prefix membership verification method to prevent adversaries from gaining sensitive messages collected by sensor nodes. And we analyze the security and communication cost. The results show that our scheme can efficiently protect privacy in query processing.

scholarly journals Secure and Low Energy Consumption Range Query in Tiered Sensor Networks

2016 ◽  
Vol 12 (07) ◽  
pp. 4 ◽  
Author(s):  
Song Ling ◽  
Qi Dong Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Value Chain ◽  
Range Query ◽  
Privacy Preserving ◽  
Low Energy ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Low Energy Consumption

For the requirement of low energy consumption and high privacy-preserving in wireless sensor networks of range query, we propose a low energy consumption secure and verifiable range query protocol called SPRQ.SPRQ uses a novel prime aggregation to protect the privacy of the query data; We further propose an idea of the and value chain whereby data items collected by each sensor will be linked with each other just like a chain.The Sink verifies the integrity of query results by checking whether the data chain of each sensor is complete or not. The results of simulation experiments prove that prime aggregation can effectively reduce the amount of increased data in the prefix encoding process,so,network energy consumption is lower compared with other secure range query protocols.

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