A lightweight lattice-based security and privacy-preserving scheme for smart grid

Due to its flexibility in terms of charging and billing, the smart grid is an enabler of many innovative energy consumption scenarios. One such example is when a landlord rents their property for a specific period to tenants. Then the electricity bill could be redirected from the landlord’s utility to the tenant’s utility. This novel scenario of the smart grid ecosystem, defined in this paper as Grid-to-Go (G2Go), promotes a green economy and can drive rent reductions. However, it also creates critical privacy issues, since utilities may be able to track the tenant’s activities. This paper presents P4G2Go, a novel privacy-preserving scheme that provides strong security and privacy assertions for roaming consumers against honest but curious entities of the smart grid. At the heart of P4G2Go lies the Idemix cryptographic protocol suite, which utilizes anonymous credentials and provides unlinkability of the consumer activities. Our scheme is complemented by the MASKER protocol, used to protect the consumption readings, and the FIDO2 protocol for strong and passwordless authentication. We have implemented the main components of P4G2Go, to quantitatively assess its performance. Finally, we reason about its security and privacy properties, proving that P4G2Go achieves to fulfill the relevant objectives.

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Decentralized Privacy-Preserving Data Aggregation Scheme for Smart Grid Based on Blockchain

Sensors ◽

10.3390/s20185282 ◽

2020 ◽

Vol 20 (18) ◽

pp. 5282 ◽

Cited By ~ 2

Author(s):

Hongbin Fan ◽

Yining Liu ◽

Zhixin Zeng

Keyword(s):

Smart Grid ◽

Data Aggregation ◽

Privacy Preserving ◽

Third Party ◽

Security And Privacy ◽

Communication Overhead ◽

User Privacy ◽

Grid Data ◽

Trusted Third Party ◽

Grid Based

As a next-generation power system, the smart grid can implement fine-grained smart metering data collection to optimize energy utilization. Smart meters face serious security challenges, such as a trusted third party or a trusted authority being attacked, which leads to the disclosure of user privacy. Blockchain provides a viable solution that can use its key technologies to solve this problem. Blockchain is a new type of decentralized protocol that does not require a trusted third party or a central authority. Therefore, this paper proposes a decentralized privacy-preserving data aggregation (DPPDA) scheme for smart grid based on blockchain. In this scheme, the leader election algorithm is used to select a smart meter in the residential area as a mining node to build a block. The node adopts Paillier cryptosystem algorithm to aggregate the user’s power consumption data. Boneh-Lynn-Shacham short signature and SHA-256 function are applied to ensure the confidentiality and integrity of user data, which is convenient for billing and power regulation. The scheme protects user privacy data while achieving decentralization, without relying on TTP or CA. Security analysis shows that our scheme meets the security and privacy requirements of smart grid data aggregation. The experimental results show that this scheme is more efficient than existing competing schemes in terms of computation and communication overhead.

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Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks

Energies ◽

10.3390/en11082085 ◽

2018 ◽

Vol 11 (8) ◽

pp. 2085 ◽

Cited By ~ 4

Author(s):

An Braeken ◽

Pardeep Kumar ◽

Andrew Martin

Keyword(s):

Smart Grid ◽

Data Aggregation ◽

Privacy Preserving ◽

Security And Privacy ◽

Smart Meters ◽

Life Patterns ◽

Consumption Data ◽

Secure Data ◽

Secure Data Aggregation ◽

Privacy Issues

The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-to-end secure data aggregation, together with accurate and dynamic billing offering privacy protection. Compared with the related work, the scheme provides a balanced trade-off between security and efficacy (i.e., low communication and computation overhead while providing robust security).

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PAS: An Efficient Privacy-Preserving Multidimensional Aggregation Scheme for Smart Grid

International Journal of Distributed Sensor Networks ◽

10.1155/2015/915795 ◽

2015 ◽

Vol 2015 ◽

pp. 1-12 ◽

Cited By ~ 2

Author(s):

Hui Zhu ◽

Fen Liu ◽

Rong Yan ◽

Hui Li

Keyword(s):

Smart Grid ◽

Power Consumption ◽

Privacy Preservation ◽

Security Analysis ◽

Privacy Preserving ◽

Security And Privacy ◽

Communication Overhead ◽

Sensitive Information ◽

Aggregation Scheme ◽

Operation Center

As a convergence of traditional power system engineering and information technology, smart grid, which can provide convenient environment of operation and management for the power provider, has attracted considerable interest recently. However, the flourish of smart grid is still facing many challenges in data security and privacy preservation. In this paper, we propose an efficient privacy-preserving multidimensional aggregation scheme for smart grid, called PAS. Without disclosing the privacy-sensitive information (e.g., identity and power consumption) of users, the operation center can obtain the number of users and power consumption at each step in different dimensions. Based on an improved Paillier cryptosystem, the operation center can acquire more valid information to regulate the generated energy, and an efficient anonymous authentication scheme is employed to protect the privacy of user’s identity from the regional center. Detailed security analysis shows the security and privacy-preserving ability of PAS. In addition, performance evaluations via extensive simulations demonstrate that PAS is implemented with great efficiency for smart grid in terms of computation and communication overhead.

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