A Trustworthy Data Aggregation Model Based on Context and Data Density Correlation Degree

2018 ◽  
Author(s):  
Yunquan Gao ◽  
Xiaoyong Li ◽  
Jirui Li ◽  
Yali Gao
Keyword(s):  
Data Aggregation ◽  
Aggregation Model ◽  
Density Correlation ◽  
Model Based ◽  
Correlation Degree ◽  
Data Density

Trust and grey model based data aggregation algorithm

2021 ◽  
Vol 35 (4) ◽  
pp. 258
Author(s):  
Ni Wang ◽  
Li Li ◽  
Yansui Du ◽  
Jun Wang
Keyword(s):  
Data Aggregation ◽  
Grey Model ◽  
Model Based

scholarly journals A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Changlun Zhang ◽  
Chao Li ◽  
Jian Zhang
Keyword(s):  
Data Aggregation ◽  
Privacy Preservation ◽  
Rapid Development ◽  
Cluster Head ◽  
Privacy Preserving ◽  
Base Station ◽  
Sensor Nodes ◽  
Mixed Data ◽  
Communication Overhead ◽  
Aggregation Model

With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in inner-cluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead.

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