LPDA: A lightweight privacy-preserving data aggregation scheme for smart grid

Alharbi, Khalid; Lin, Xiaodong

doi:10.1109/wcsp.2012.6542936

Cited by 35 publications

(12 citation statements)

References 10 publications

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“…Castelluccia et al proposed an efficient and privacy‐preserving aggregation scheme based on additive homomorphic cryptosystem which can resist various attacks. Alharbi and Lin later proposed a lightweight privacy‐preserving data aggregation scheme for smart grid communication using the additive homomorphic encryption technique proposed by Catellucia et al However, the scheme is not fault‐tolerant. In 2012, Lu et al proposed an efficient and privacy‐preserving data aggregation scheme known as EPPA to achieve privacy‐preserving multidimensional data aggregation in smart grid.…”

Section: Related Workmentioning

confidence: 99%

“…Several privacy-preserving data aggregation schemes have been proposed to achieve data confidentiality and reduced communication costs. In this section, we review some of the existing data aggregation schemes [16][17][18][19][20][21][22][23][24][25][26][27][28] and Zhu et al's scheme 5 for traffic flow analysis in ITS. Castelluccia et al 16 proposed an efficient and privacy-preserving aggregation scheme based on additive homomorphic cryptosystem which can resist various attacks.…”

Section: Related Workmentioning

confidence: 99%

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An anonymous and privacy‐preserving scheme for efficient traffic movement analysis in intelligent transportation system

Ogundoyin

2018

Security and Privacy

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Intelligent transportation system (ITS) has gained popularity in recent times because it has the prospect to improve traffic efficiency, minimize traffic accident, provide convenience, and reduce air pollution. In this paper, we propose a secure, autonomous, anonymous, and privacy‐preserving traffic movement analysis scheme for ITS. In the proposed scheme, fine‐grained traffic information such as average speed can be obtained without compromising users' privacy. We employ modified Paillier cryptosystem and Chinese Remainder Theorem to aggregate data of heterogeneous roads for saving bandwidth and Boneh short signature for authentication. The proposed scheme is autonomous by allowing users to generate their private/public key pair on their own for communication. In addition, we show that the proposed scheme meets all the security and privacy requirements of ITS such as data confidentiality and integrity, anonymous authentication, conditional traceability, and attack resistance. The performance analysis shows that the proposed scheme is very efficient.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An anonymous and privacy‐preserving scheme for efficient traffic movement analysis in intelligent transportation system

Ogundoyin

2018

Security and Privacy

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“…• By considering residential user privacy and efficiency issues in data aggregation in a Residential Area Network (RAN) of smart meter devices, we propose ELPDA, an efficient lightweight privacy-preserving data aggregation scheme to address security and privacy challenges [7]. In ELPDA, based on one-time masking technique, each smart meter's data can be efficiently encrypted and aggregated.…”

Section: Objective and Contributionsmentioning

confidence: 99%

A framework for privacy-preserving data sharing in the Smart Grid

Alharbi

Lin

Shao

2014

2014 IEEE/CIC International Conference on Communications in China (ICCC)

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“…Chen et al [4] combine Paillier encryption and secret sharing technique to propose a fault-tolerant privacypreserving data aggregation. In addition, based on some homomorphic techniques, other efficient schemes [5]- [9] have also been proposed, some of them are even secure against differential attack [6]- [8]. However, all above schemes are the whole user set aggregation, and cannot support partially subset aggregation.…”

Section: Related Workmentioning

confidence: 99%

A Novel Privacy-Preserving Set Aggregation Scheme for Smart Grid Communications

Lu¹,

Alharbi²,

Lin³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

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In this paper, we propose a novel privacy-preserving set aggregation scheme for smart grid communications. The proposed scheme is characterized by employing a group G of composite order n = pq to achieve two-subset aggregation from a single aggregated data. With the proposed set aggregation scheme, the control center in smart grid is able to obtain more fine-grained data aggregation results for better monitoring and controlling smart grid. Detailed security analysis shows that the proposed scheme can achieve privacy-preserving property with formal proof in the random oracle model. In addition, extensive experiments are conducted, and the results demonstrate the proposed scheme is also efficient in terms of low computational costs and communication overheads.

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LPDA: A lightweight privacy-preserving data aggregation scheme for smart grid

Cited by 35 publications

References 10 publications

An anonymous and privacy‐preserving scheme for efficient traffic movement analysis in intelligent transportation system

An anonymous and privacy‐preserving scheme for efficient traffic movement analysis in intelligent transportation system

A framework for privacy-preserving data sharing in the Smart Grid

A Novel Privacy-Preserving Set Aggregation Scheme for Smart Grid Communications

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