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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 total data transmission for FESA, DAA and SDA-PH, where in FESA and DAA detect false data during data aggregation and forwarding while SDA-PH detects only in BS.
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sensors-15-15952-f008: The total data transmission for FESA, DAA and SDA-PH, where in FESA and DAA detect false data during data aggregation and forwarding while SDA-PH detects only in BS.

Mentions: Figure 8 shows the total data transmission versusβ/α for FESA, DAA and SDA-HP. The total data transmission in the network is shown as a function of average number of hops between aggregators and the ratio of false data to legitimate data. Figure 8 shows that, as the ratio of false data to legitimate data increases, the total data transmission increases. Moreover, under the same conditions, compared to SDA-PH and DAA, FESA scheme has less total data transmission, which leads to the less energy consumption of sensor nodes. The reason is that each data packet of DAA is larger than FESA, thus more data are transmitted in the network. SDA-PH scheme detects false data only in the BS, therefore, data would not be detected until it transmitted into BS. In this condition, when more sensor nodes are compromised, FESA can quickly detect false data than SDA-PH, which results in the reduction of data transmission and energy consumption in the whole network.


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 total data transmission for FESA, DAA and SDA-PH, where in FESA and DAA detect false data during data aggregation and forwarding while SDA-PH detects only in BS.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-15952-f008: The total data transmission for FESA, DAA and SDA-PH, where in FESA and DAA detect false data during data aggregation and forwarding while SDA-PH detects only in BS.
Mentions: Figure 8 shows the total data transmission versusβ/α for FESA, DAA and SDA-HP. The total data transmission in the network is shown as a function of average number of hops between aggregators and the ratio of false data to legitimate data. Figure 8 shows that, as the ratio of false data to legitimate data increases, the total data transmission increases. Moreover, under the same conditions, compared to SDA-PH and DAA, FESA scheme has less total data transmission, which leads to the less energy consumption of sensor nodes. The reason is that each data packet of DAA is larger than FESA, thus more data are transmitted in the network. SDA-PH scheme detects false data only in the BS, therefore, data would not be detected until it transmitted into BS. In this condition, when more sensor nodes are compromised, FESA can quickly detect false data than SDA-PH, which results in the reduction of data transmission and energy consumption in the whole network.

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