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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 number of computations (which includes the computations of encryption, decryption and MACs) versus the number of network monitoring nodes for FESA and DAA.
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sensors-15-15952-f004: The total number of computations (which includes the computations of encryption, decryption and MACs) versus the number of network monitoring nodes for FESA and DAA.

Mentions: The energy consumption in LWSNs is mainly due to data transmission. Thus, it is particularly important to reduce data redundancy and detect false data as early as possible. The energy consumption in this scheme mainly includes the computational overhead of encryption and decryption, the computational overhead of MACs and data communication overhead. The total number of computations in this scheme is shown in Figure 4, which is affected by the number of monitoring nodes and contains the computation of encryption, decryption and MACs. As shown in Figure 4, as the monitoring nodes increase, the total number of computations becomes larger. Since the DAA needs to encrypt and decrypt hop-by-hop, its number of computations is more than FESA.


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 number of computations (which includes the computations of encryption, decryption and MACs) versus the number of network monitoring nodes for FESA and DAA.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-15952-f004: The total number of computations (which includes the computations of encryption, decryption and MACs) versus the number of network monitoring nodes for FESA and DAA.
Mentions: The energy consumption in LWSNs is mainly due to data transmission. Thus, it is particularly important to reduce data redundancy and detect false data as early as possible. The energy consumption in this scheme mainly includes the computational overhead of encryption and decryption, the computational overhead of MACs and data communication overhead. The total number of computations in this scheme is shown in Figure 4, which is affected by the number of monitoring nodes and contains the computation of encryption, decryption and MACs. As shown in Figure 4, as the monitoring nodes increase, the total number of computations becomes larger. Since the DAA needs to encrypt and decrypt hop-by-hop, its number of computations is more than FESA.

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