Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks

By Keke Gai, Yulu Wu, Liehuang Zhu, Lei Xu, Yan Zhang. IEEE Internet of Things Journal, 2019

327 citations recorded by the source corpus.

The blooming trend of smart grid deployment is engaged by the evolution of the network technology, as the connected environment offers various alternatives for electrical data collections. Having diverse data sharing/transfer means is deemed an important aspect in enabling intelligent controls/governance in smart grid. However, security and privacy concerns also are introduced while flexible communication services are provided, such as energy depletion and infrastructure mapping attacks. This paper proposes a model permissioned blockchain edge model for smart grid network (PBEM-SGN) to address the two significant issues in smart grid, privacy protections, and energy security, by means of combining blockchain and edge computing techniques. We use group signatures and covert channel authorization techniques to guarantee users’ validity. An optimal security-aware strategy is constructed by smart contracts running on the blockchain. Our experiments have evaluated the effectiveness of the proposed approach.

Subfields: Artificial Intelligence, Control and Systems Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/41eaf218527a2ab7329a80261fdd571d9f732402

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Dinh C. Nguyen
  2. Pubudu N. Pathirana
  3. Ming Ding
  4. Aruna Prasad Seneviratne
  5. Jun Zhao
  6. Shui Yu
  7. Mohamed M. Abdallah
  8. Liehuang Zhu

In Control and Systems Engineering

  1. Jun Zhao
  2. Dusist Niyato
  3. Pubudu N. Pathirana

In Information Systems

  1. Dinh C. Nguyen
  2. Pubudu N. Pathirana
  3. Ming Ding
  4. Aruna Prasad Seneviratne
  5. Jun Zhao
  6. Shui Yu
  7. Liehuang Zhu
  8. Dusist Niyato

Citations in the corpus