PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

The self-organizing nature of its architecture of wireless sensor networks (WSNs) introduce unique challenges for privacy preservation of data. This paper analyzes the cluster-based private data aggregation protocol (CPDA), and proposes a privacy protection protocol based on hierarchical cluster. We firstly reorganize nodes in cluster according to the logic structure of binary-tree in which each node transmits slice data instead of the full one. And then, we establish the hierarchical privacy tree to manage the group of keys, which purpose is privacy protection in case of data aggregation.

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

Journal of Electrical and Computer Engineering ◽

10.1155/2015/104286 ◽

2015 ◽

Vol 2015 ◽

pp. 1-9 ◽

Cited By ~ 4

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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Secure Multi-Subinterval Data Aggregation Scheme with Interval Privacy Preservation for Vehicle Sensing Systems

Journal of Circuits System and Computers ◽

10.1142/s0218126621502868 ◽

2021 ◽

pp. 2150286

Author(s):

Peng Hu ◽

Yongli Wang ◽

Ahmadreza Vajdi ◽

Bei Gong ◽

Yongjian Wang

Keyword(s):

Data Aggregation ◽

Privacy Preservation ◽

Homomorphic Encryption ◽

Security Analysis ◽

Security And Privacy ◽

Communication Overhead ◽

Network Resources ◽

Sensing Systems ◽

Aggregation Scheme ◽

And Performance

Road side units (RSUs) can act as fog nodes to perform data aggregation at the edge of network, which can reduce communication overhead and improve the utilization of network resources. However, because the RSU is public infrastructure, this feature may bring data security and privacy risks in data aggregation. In this paper, we propose a secure multi-subinterval data aggregation scheme, named SMDA, with interval privacy preservation for vehicle sensing systems. Specifically, our scheme combines the [Formula: see text] encoding theory and proxy re-encryption to protect interval privacy, this can ensure that the interval information is only known by the data center, and the RSU can classify the encrypted data without knowing the plaintext of the data and interval information. Meanwhile, our scheme employs the Paillier homomorphic encryption to accomplish data aggregation at the RSU, and the Identity-based batch authentication technology to solve authentication and data integrity. Finally, the security analysis and performance evaluations illustrate the safety and efficiency of our scheme.

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