Preserving data integrity for smart grid data aggregation

2012 ◽  
Author(s):  
Fengjun Li ◽  
Bo Luo
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Data Integrity ◽  
Grid Data

Smart Grid Data Integrity Attacks

2013 ◽  
Vol 4 (3) ◽  
pp. 1244-1253 ◽  
Author(s):  
Annarita Giani ◽  
Eilyan Bitar ◽  
Manuel Garcia ◽  
Miles McQueen ◽  
Pramod Khargonekar ◽  
...  
Keyword(s):  
Smart Grid ◽  
Data Integrity ◽  
Grid Data

Smart grid data integrity attacks: characterizations and countermeasuresπ

2011 ◽  
Author(s):  
Annarita Giani ◽  
Eilyan Bitar ◽  
Manuel Garcia ◽  
Miles McQueen ◽  
Pramod Khargonekar ◽  
...  
Keyword(s):  
Smart Grid ◽  
Data Integrity ◽  
Grid Data

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 Metrics for assessment of smart grid data integrity attacks

2012 ◽  
Author(s):  
A. Giani ◽  
R. Bent ◽  
M. Hinrichs ◽  
M. McQueen ◽  
K. Poolla
Keyword(s):  
Smart Grid ◽  
Data Integrity ◽  
Grid Data

scholarly journals Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yousheng Zhou ◽  
Xinyun Chen ◽  
Meihuan Chen
Keyword(s):  
Smart Grid ◽  
Data Aggregation ◽  
Data Privacy ◽  
Random Oracle Model ◽  
Privacy Preserving ◽  
Multidimensional Data ◽  
Communication Overhead ◽  
Security Threat ◽  
Grid Data ◽  
Aggregation Scheme

In a smart grid, data aggregation is a common method to evaluate regional power consumption. Data leakage in the process of data transmission poses a security threat to the privacy of users. Many existing data aggregation schemes can only aggregate one-dimensional data; however, it is necessary to aggregate multidimensional data in practical smart grid applications. Therefore, this paper proposes a privacy-preserving multidimensional data aggregation scheme, which can aggregate multidimensional data and protect the individual user’s identity and data privacy. The security of the proposed scheme is proved under the random oracle model. The simulation results show that the proposed scheme has great advantages in computing overhead, and the communication overhead also meets the requirements of the smart grid.

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