scholarly journals Multiauthority Traceable Ring Signature Scheme for Smart Grid Based on Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Fei Tang ◽  
Junjie Pang ◽  
Kefei Cheng ◽  
Qianhong Gong
Keyword(s):  
Smart Grid ◽  
Supply And Demand ◽  
Security And Privacy ◽  
Signature Scheme ◽  
Ring Signature ◽  
Authentication Mechanism ◽  
Data Inconsistency ◽  
Consumption Data ◽  
Generation Power ◽  
Grid Based

As the next-generation power grid system, the smart grid can realize the balance of supply and demand and help in communication security and privacy protection. However, real-time power consumption data collection might expose the users’ privacy information, such as their living habits and economic conditions. In addition, during the process of data transmission, it may lead to data inconsistency between the user side and the storage side. Blockchain provides tamper-resistant and traceable characteristics for solving these problems, and ring signature schemes provide an anonymous authentication mechanism. Therefore, in this work, we consider the applications of ring signature scheme in smart grid based on blockchain. We introduce the notion of multi-authority traceable ring signature (MA-TRS) scheme for distributed setting. In our scheme, there is an auditing node that can distinguish the identity of the real signer from the ring without any secret information. Last but not least, we prove that the proposed scheme is unforgeable, anonymous, and traceable.

Classification for consumption data in smart grid based on forecasting time series

2016 ◽  
Vol 141 ◽  
pp. 191-201 ◽  
Author(s):  
Kálmán Tornai ◽  
Lóránt Kovács ◽  
András Oláh ◽  
Rajmund Drenyovszki ◽  
István Pintér ◽  
...  
Keyword(s):  
Time Series ◽  
Smart Grid ◽  
Consumption Data ◽  
Grid Based

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

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5282 ◽  
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.

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

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2085 ◽  
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).

Efficient Lattice-Based Ring Signature Scheme

2012 ◽  
Vol 35 (4) ◽  
pp. 712-718 ◽  
Author(s):  
Miao-Miao TIAN ◽  
Liu-Sheng HUANG ◽  
Wei YANG
Keyword(s):  
Signature Scheme ◽  
Ring Signature

Identity-based threshold ring signature scheme with constant signature size

2013 ◽  
Vol 32 (5) ◽  
pp. 1385-1387 ◽  
Author(s):  
Hua SUN ◽  
Lei GUO ◽  
Xue-feng ZHENG ◽  
Ai-min WANG
Keyword(s):  
Signature Scheme ◽  
Ring Signature ◽  
Identity Based
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