A model for aggregation and filtering on encrypted XML streams in fog computing
The Internet of Things provides visions of innovative services and domain-specific applications. With the development of Internet of Things services, various structural data need to be transferred over the Internet. However, protecting structural information that contains sensitive data has raised c...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717704158 |
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| _version_ | 1850226054301483008 |
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| author | Jyun-Yao Huang Wei-Chih Hong Po-Shin Tsai I-En Liao |
| author_facet | Jyun-Yao Huang Wei-Chih Hong Po-Shin Tsai I-En Liao |
| author_sort | Jyun-Yao Huang |
| collection | DOAJ |
| description | The Internet of Things provides visions of innovative services and domain-specific applications. With the development of Internet of Things services, various structural data need to be transferred over the Internet. However, protecting structural information that contains sensitive data has raised concerns against Internet of Things services. For a publish/subscribe scenario consisting of sensors, fog nodes, and subscribers, we propose a model that (1) expands the present XML Encryption standard for data with string and numeric types implemented in the sensors, (2) efficiently and discreetly filters matched streaming data and performs summation in the fog nodes, and (3) decrypts the filtered and aggregated data in the subscribers without revealing privacy data. The experimental results of the performance on fog node implemented by PC or Raspberry Pi show that the proposed model can rapidly process multiple encrypted XML streams generated by sensors in a parallel manner without revealing privacy data to subscribers. Therefore, the proposed model is a solution to the fog computing applications in which the privacy preservation of sensor data is of great concern. |
| format | Article |
| id | doaj-art-52ff0c0ad2344dc7bfb9a2001f51a3b3 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-52ff0c0ad2344dc7bfb9a2001f51a3b32025-08-20T02:05:11ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-05-011310.1177/1550147717704158A model for aggregation and filtering on encrypted XML streams in fog computingJyun-Yao Huang0Wei-Chih Hong1Po-Shin Tsai2I-En Liao3Department of Computer Science and Engineering, National Chung Hsing University, Taichung, TaiwanDepartment of Information Engineering and Computer Science, Feng Chia University, Taichung, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung, TaiwanDepartment of Computer Science and Engineering, National Chung Hsing University, Taichung, TaiwanThe Internet of Things provides visions of innovative services and domain-specific applications. With the development of Internet of Things services, various structural data need to be transferred over the Internet. However, protecting structural information that contains sensitive data has raised concerns against Internet of Things services. For a publish/subscribe scenario consisting of sensors, fog nodes, and subscribers, we propose a model that (1) expands the present XML Encryption standard for data with string and numeric types implemented in the sensors, (2) efficiently and discreetly filters matched streaming data and performs summation in the fog nodes, and (3) decrypts the filtered and aggregated data in the subscribers without revealing privacy data. The experimental results of the performance on fog node implemented by PC or Raspberry Pi show that the proposed model can rapidly process multiple encrypted XML streams generated by sensors in a parallel manner without revealing privacy data to subscribers. Therefore, the proposed model is a solution to the fog computing applications in which the privacy preservation of sensor data is of great concern.https://doi.org/10.1177/1550147717704158 |
| spellingShingle | Jyun-Yao Huang Wei-Chih Hong Po-Shin Tsai I-En Liao A model for aggregation and filtering on encrypted XML streams in fog computing International Journal of Distributed Sensor Networks |
| title | A model for aggregation and filtering on encrypted XML streams in fog computing |
| title_full | A model for aggregation and filtering on encrypted XML streams in fog computing |
| title_fullStr | A model for aggregation and filtering on encrypted XML streams in fog computing |
| title_full_unstemmed | A model for aggregation and filtering on encrypted XML streams in fog computing |
| title_short | A model for aggregation and filtering on encrypted XML streams in fog computing |
| title_sort | model for aggregation and filtering on encrypted xml streams in fog computing |
| url | https://doi.org/10.1177/1550147717704158 |
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