An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks
Data aggregation is an important method to reduce the energy consumption in wireless sensor networks (WSNs); however, it suffers from the security problems of data privacy and integrity. Existing solutions either have large communication and computation overheads or only produce inaccurate results....
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/962925 |
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| _version_ | 1832547243791482880 |
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| author | Qiang Zhou Geng Yang Liwen He |
| author_facet | Qiang Zhou Geng Yang Liwen He |
| author_sort | Qiang Zhou |
| collection | DOAJ |
| description | Data aggregation is an important method to reduce the energy consumption in wireless sensor networks (WSNs); however, it suffers from the security problems of data privacy and integrity. Existing solutions either have large communication and computation overheads or only produce inaccurate results. This paper proposes a novel secure data aggregation scheme based on homomorphic primitives in WSNs (abbreviated as SDA-HP). The scheme adopts a symmetric-key homomorphic encryption to protect data privacy and combines it with homomorphic MAC synchronically to check the aggregation data integrity. It compares the scheme with the previously known methods such as SIES, iPDA, and iCPDA in terms of the data privacy protection efficiency, integrity performance, computation overhead, communication overhead, and data aggregation accuracy. Simulation results and performance analysis show that our SDA-HP requires less communication and computation overheads than previously known methods and can effectively preserve data privacy, check data integrity, and achieve high data transmission efficiency and accurate data aggregation rate while consuming less energy to prolong network lifetime. To the best of our knowledge, this is the first work that provides both integrity and privacy based on homomorphic primitives. |
| format | Article |
| id | doaj-art-a4bdefdcd390441b8dfcd597f2200db2 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-a4bdefdcd390441b8dfcd597f2200db22025-02-03T06:45:37ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-01-011010.1155/2014/962925962925An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor NetworksQiang Zhou0Geng Yang1Liwen He2 School of Computer & Information Engineering, Chuzhou University, Chuzhou 239000, China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts & Telecommunications, Nanjing 210046, China School of Computer Science & Technology, Nanjing University of Posts & Telecommunications, Nanjing 210046, ChinaData aggregation is an important method to reduce the energy consumption in wireless sensor networks (WSNs); however, it suffers from the security problems of data privacy and integrity. Existing solutions either have large communication and computation overheads or only produce inaccurate results. This paper proposes a novel secure data aggregation scheme based on homomorphic primitives in WSNs (abbreviated as SDA-HP). The scheme adopts a symmetric-key homomorphic encryption to protect data privacy and combines it with homomorphic MAC synchronically to check the aggregation data integrity. It compares the scheme with the previously known methods such as SIES, iPDA, and iCPDA in terms of the data privacy protection efficiency, integrity performance, computation overhead, communication overhead, and data aggregation accuracy. Simulation results and performance analysis show that our SDA-HP requires less communication and computation overheads than previously known methods and can effectively preserve data privacy, check data integrity, and achieve high data transmission efficiency and accurate data aggregation rate while consuming less energy to prolong network lifetime. To the best of our knowledge, this is the first work that provides both integrity and privacy based on homomorphic primitives.https://doi.org/10.1155/2014/962925 |
| spellingShingle | Qiang Zhou Geng Yang Liwen He An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks |
| title_full | An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks |
| title_fullStr | An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks |
| title_full_unstemmed | An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks |
| title_short | An Efficient Secure Data Aggregation Based on Homomorphic Primitives in Wireless Sensor Networks |
| title_sort | efficient secure data aggregation based on homomorphic primitives in wireless sensor networks |
| url | https://doi.org/10.1155/2014/962925 |
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