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Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks.

Li X, Chen D, Li C, Wang L - Sensors (Basel) (2015)

Bottom Line: Data aggregation represents an important method to remove redundancy as well as unnecessary data transmission and hence cut down the energy used in communication.Although the FHE increase the computation overhead due to its large public key size, simulation results show that it is implementable in LWSNs and performs well.Compared with other protocols, the transmitted data and network overhead are reduced in our scheme.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China. lixing0409@163.com.

ABSTRACT
With the rapid development of wireless communication technology, sensor technology, information acquisition and processing technology, sensor networks will finally have a deep influence on all aspects of people's lives. The battery resources of sensor nodes should be managed efficiently in order to prolong network lifetime in large-scale wireless sensor networks (LWSNs). Data aggregation represents an important method to remove redundancy as well as unnecessary data transmission and hence cut down the energy used in communication. As sensor nodes are deployed in hostile environments, the security of the sensitive information such as confidentiality and integrity should be considered. This paper proposes Fully homomorphic Encryption based Secure data Aggregation (FESA) in LWSNs which can protect end-to-end data confidentiality and support arbitrary aggregation operations over encrypted data. In addition, by utilizing message authentication codes (MACs), this scheme can also verify data integrity during data aggregation and forwarding processes so that false data can be detected as early as possible. Although the FHE increase the computation overhead due to its large public key size, simulation results show that it is implementable in LWSNs and performs well. Compared with other protocols, the transmitted data and network overhead are reduced in our scheme.

No MeSH data available.


Related in: MedlinePlus

The entire network performance under DAA, SDA-PH and our scheme. Although using FHE increases the communication overhead, the performance of our scheme is still approaching to the other two schemes. (a) The average delay of the entire network; (b) The average delivery ratios of the entire network; (c) The average throughput of the entire network. In (b), when there are less than six aggregators forward data to the base station at the same time, the data delivery ratios are close to 1.
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sensors-15-15952-f007: The entire network performance under DAA, SDA-PH and our scheme. Although using FHE increases the communication overhead, the performance of our scheme is still approaching to the other two schemes. (a) The average delay of the entire network; (b) The average delivery ratios of the entire network; (c) The average throughput of the entire network. In (b), when there are less than six aggregators forward data to the base station at the same time, the data delivery ratios are close to 1.

Mentions: Therefore, in secure data aggregation protocols, the number of aggregators in the network affects the performance of the whole network. In this simulation scenario, we assume no false data exists. Figure 7 illustrates the performance of these three protocols under different number of aggregators, including transmission delay, delivery radios and throughput. The comparison result for average delays of the aggregator is SDA-PH < FESA < DAA. Since FESA increases part of the communication overhead using FHE, the average delivery ratios and the average throughputs of these three protocols are approximate.


Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks.

Li X, Chen D, Li C, Wang L - Sensors (Basel) (2015)

The entire network performance under DAA, SDA-PH and our scheme. Although using FHE increases the communication overhead, the performance of our scheme is still approaching to the other two schemes. (a) The average delay of the entire network; (b) The average delivery ratios of the entire network; (c) The average throughput of the entire network. In (b), when there are less than six aggregators forward data to the base station at the same time, the data delivery ratios are close to 1.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541862&req=5

sensors-15-15952-f007: The entire network performance under DAA, SDA-PH and our scheme. Although using FHE increases the communication overhead, the performance of our scheme is still approaching to the other two schemes. (a) The average delay of the entire network; (b) The average delivery ratios of the entire network; (c) The average throughput of the entire network. In (b), when there are less than six aggregators forward data to the base station at the same time, the data delivery ratios are close to 1.
Mentions: Therefore, in secure data aggregation protocols, the number of aggregators in the network affects the performance of the whole network. In this simulation scenario, we assume no false data exists. Figure 7 illustrates the performance of these three protocols under different number of aggregators, including transmission delay, delivery radios and throughput. The comparison result for average delays of the aggregator is SDA-PH < FESA < DAA. Since FESA increases part of the communication overhead using FHE, the average delivery ratios and the average throughputs of these three protocols are approximate.

Bottom Line: Data aggregation represents an important method to remove redundancy as well as unnecessary data transmission and hence cut down the energy used in communication.Although the FHE increase the computation overhead due to its large public key size, simulation results show that it is implementable in LWSNs and performs well.Compared with other protocols, the transmitted data and network overhead are reduced in our scheme.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang 212013, China. lixing0409@163.com.

ABSTRACT
With the rapid development of wireless communication technology, sensor technology, information acquisition and processing technology, sensor networks will finally have a deep influence on all aspects of people's lives. The battery resources of sensor nodes should be managed efficiently in order to prolong network lifetime in large-scale wireless sensor networks (LWSNs). Data aggregation represents an important method to remove redundancy as well as unnecessary data transmission and hence cut down the energy used in communication. As sensor nodes are deployed in hostile environments, the security of the sensitive information such as confidentiality and integrity should be considered. This paper proposes Fully homomorphic Encryption based Secure data Aggregation (FESA) in LWSNs which can protect end-to-end data confidentiality and support arbitrary aggregation operations over encrypted data. In addition, by utilizing message authentication codes (MACs), this scheme can also verify data integrity during data aggregation and forwarding processes so that false data can be detected as early as possible. Although the FHE increase the computation overhead due to its large public key size, simulation results show that it is implementable in LWSNs and performs well. Compared with other protocols, the transmitted data and network overhead are reduced in our scheme.

No MeSH data available.


Related in: MedlinePlus