التفاصيل البيبلوغرافية
| العنوان: |
PAPG: Private Aggregation Scheme based on Privacy-preserving Gene in Wireless Sensor Networks. |
| المؤلفون: |
Weini Zeng, Peng Chen, Hairong Chen, Shiming He |
| المصدر: |
KSII Transactions on Internet & Information Systems; Sep2016, Vol. 10 Issue 9, p4442-4466, 25p, 5 Diagrams, 6 Charts, 2 Graphs |
| مصطلحات موضوعية: |
DATA privacy, WIRELESS sensor networks, CLUSTER analysis (Statistics), DATA encryption, COMPUTATIONAL complexity |
| مستخلص: |
This paper proposes a privacy-preserving aggregation scheme based on the designed P-Gene (PAPG) for sensor networks. The P-Gene is constructed using the designed erasable data-hiding technique. In this P-Gene, each sensory data item may be hidden by the collecting sensor node, thereby protecting the privacy of this data item. Thereafter, the hidden data can be directly reported to the cluster head that aggregates the data. The aggregation result can then be recovered from the hidden data in the cluster head. The designed P-Genes can protect the privacy of each data item without additional data exchange or encryption. Given the flexible generation of the P-Genes, the proposed PAPG scheme adapts to dynamically changing reporting nodes. Apart from its favorable resistance to data loss, the extensive analyses and simulations demonstrate how the PAPG scheme efficiently preserves privacy while consuming less communication and computational overheads. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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