EPSim-GS: Efficient and Privacy-Preserving Similarity Range Query over Genomic Sequences

Author(s):  
Jiacheng Jin ◽  
Yandong Zheng ◽  
Pulei Xiong
Author(s):  
Chuan Zhang ◽  
Liehuang Zhu ◽  
Chang Xu ◽  
Jianbing Ni ◽  
Cheng Huang ◽  
...  

2020 ◽  
Vol 106 ◽  
pp. 101714 ◽  
Author(s):  
Peng Hu ◽  
Yongli Wang ◽  
Quanbing Li ◽  
Yongjian Wang ◽  
Yanchao Li ◽  
...  

2016 ◽  
Vol 12 (07) ◽  
pp. 4 ◽  
Author(s):  
Song Ling ◽  
Qi Dong Yang

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.


Author(s):  
Hassan Mahdikhani ◽  
Rongxing Lu ◽  
Jun Shao ◽  
Ali Ghorbani

Author(s):  
Yandong Zheng ◽  
Rongxing Lu ◽  
Yunguo Guan ◽  
Jun Shao ◽  
Hui Zhu

Sensors ◽  
2017 ◽  
Vol 17 (8) ◽  
pp. 1829 ◽  
Author(s):  
Qinglei Kong ◽  
Rongxing Lu ◽  
Maode Ma ◽  
Haiyong Bao

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