SESA: an efficient searchable encryption scheme for auction in emerging smart grid marketing

Wen, Mei; Lu, Rongxing; Lei, Jingsheng; Li, Hongwei; Liang, Xiaoghui; Shen, Xuemin

doi:10.1002/sec.699

Cited by 47 publications

(30 citation statements)

References 20 publications

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“…Li et al 9 achieves forward secrecy by frequently updating keys, and can adaptively control the key evolution to balance the trade-off between the communication and security level. However, the method is very complex and needs large amount of computation and communication, that is verifiers need to verify a lot of messages which costing heavily computation.…”

Section: Related Workmentioning

confidence: 99%

“…In EPPDR, 9 for evolving l ij session keys, U ij firstly sends message to BG i . Then, BG i responds a message to U ij .…”

Section: Communication Overhead Analysismentioning

confidence: 99%

“…Then, BG i responds a message to U ij . According to EPPDR, 9 the total communication overhead is 161 * l ij + 80 + 80 + 336 bits. In comparison, in our scheme, for updating keys, we just need to transmit the private key x ij every l ij times.…”

Section: Communication Overhead Analysismentioning

confidence: 99%

“…To guarantee forward secrecy we present a simple solution to update the secret keys, and to reduce the cost we propose to use the signature aggregation. 9 Specifically, the contributions of this paper are two aspects.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Privacy-Preserving Scheme with Signature Aggregation and Key Updating in Smart Grid

Wang¹,

Liu²,

Lin³

et al. 2014

sens lett

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In comparison with traditional power grid system, smart power grid has the feature of distributed energy control with large amount of information transmission. Because the grid needs to collect users' usage data, privacy becomes a critical issue. Therefore, providing an efficient privacypreserving demand response scheme is vital to smart grid. We propose an efficient privacypreserving demand response scheme achieves confidentiality and integrity. The model transmits both real usage data and the future demand data for analyzing, comparing, and adjusting the generation and usage of electricity. In addition, updating keys can ensure users' data to be forward secrecy, and signature aggregation can reduce computation cost. The performance comparison with another scheme which also achieves key updating, shows that our scheme is more efficient in terms of computation and communication overhead; thus helping users save energy and maintain supply-demand balance.

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Section: Related Workmentioning

confidence: 99%

“…In EPPDR, 9 for evolving l ij session keys, U ij firstly sends message to BG i . Then, BG i responds a message to U ij .…”

Section: Communication Overhead Analysismentioning

confidence: 99%

Section: Communication Overhead Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Efficient Privacy-Preserving Scheme with Signature Aggregation and Key Updating in Smart Grid

Wang¹,

Liu²,

Lin³

et al. 2014

sens lett

View full text Add to dashboard Cite

show abstract

“…According to a recent report from SBI Energy [1], the volume of smart grid data managed by utilities is going to surge from 10,780 terabytes (TB) in 2010 to over 75,200 TB in 2015 [2]. And the volume of data in the world is expected to reach 40 Zetabytes in 2020 [3] with very high increasing speed.…”

Section: Introductionmentioning

confidence: 96%

BDO-SD: An efficient scheme for big data outsourcing with secure deduplication

Wen

Lei

et al. 2015

2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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In the big data era, duplicated copies of data may be generated by various smart devices. Although convergent encryption has been extensively adopted for secure deduplication, it is still very challenging to efficiently and reliably manage the convergent keys and support keyword search over encrypted data. This paper addresses this problem by presenting an efficient scheme for big data outsourcing with secure deduplication, named BDO-SD. Specifically, with the convergent encryption technique, data owners can outsource their data to the cloud server with data deduplication; with the idea of public key encryption and keywords search, a data user can query encrypted data while preserving its privacy. Security analysis demonstrates that our proposed BDO-SD scheme can achieve the data confidentiality, query privacy and key security. Simulation results show that compared with other schemes, our scheme can achieve better efficiency than the existing data deduplication schemes.

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Generic constructions of secure‐channel free searchable encryption with adaptive security

Emura

Miyaji

Rahman

et al. 2014

Security Comm Networks

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For searching keywords against encrypted data, the public key encryption scheme with keyword search (PEKS), and its an extension called secure-channel free PEKS (SCF-PEKS) have been proposed. In SCF-PEKS, a receiver makes a trapdoor for a keyword, and uploads it on a server. A sender computes an encrypted keyword, and sends it to the server. The server executes the searching procedure (called the test algorithm, which takes as inputs an encrypted keyword, trapdoor, and secret key of the server). In this paper, we extend the security of SCF-PEKS, calling it adaptive SCF-PEKS, wherein an adversary (modeled as a "malicious-but-legitimate" receiver) is allowed to issue test queries adaptively, and show that adaptive SCF-PEKS can be generically constructed by anonymous identity-based encryption (anonymous IBE) only. That is, for constructing adaptive SCF-PEKS we need not require any additional cryptographic primitive when compared to the Abdalla et al. PEKS construction (J. Cryptology 2008), even though adaptive SCF-PEKS requires additional functionalities. Note that our generic construction needs to apply the KEM/DEM framework (a.k.a. hybrid encryption), where KEM stands for key encapsulation mechanism, and DEM stands for data encapsulation mechanism. We also show that there is a class of anonymous IBE that can be applied for constructing adaptive SCF-PEKS without using hybrid encryption, and propose an adaptive SCF-PEKS construction based on this IBE. Although our second construction is not fully generic, it is efficient compared to the first, since we can exclude the DEM part. Finally, we instantiate an adaptive SCF-PEKS scheme (via our second construction) that achieves a similar level of efficiency for the costs of the test procedure and encryption, compared to the (non-adaptive secure) SCF-PEKS scheme by Fang et al. (CANS2009).

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SESA: an efficient searchable encryption scheme for auction in emerging smart grid marketing

Cited by 47 publications

References 20 publications

An Efficient Privacy-Preserving Scheme with Signature Aggregation and Key Updating in Smart Grid

An Efficient Privacy-Preserving Scheme with Signature Aggregation and Key Updating in Smart Grid

BDO-SD: An efficient scheme for big data outsourcing with secure deduplication

Generic constructions of secure‐channel free searchable encryption with adaptive security

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