Analysis of Privacy-aware Data Sharing in Cyber-physical Energy Systems

In this thesis, we determine the key factors and correlations among the privacy, security, and utility requirements of grid networks to ensure effective inter-and intra-actions within physical layer equipment (e.g., distributed energy resources (DERs), intelligent electronic devices (IEDs), etc.). We have conducted a comprehensive analysis of the existing consensus mechanisms in blockchain-enabled smart grids while pointing out the potential research gaps. We develop a practical and effective consensus mechanism for a private and permissioned blockchain-enabled Supervisory control and data acquisition (SCADA) system. Moreover, we bridge a common and popular industrial control system (ICS) protocol, distributed network protocol 3 (DNP3) with the blockchain network to ensure smooth operation. In addition, we develop differential privacy (DP)-enabled strategies to achieve data security, privacy, and utility requirements of the power system network under an adversarial setting. Specifically, we aim to analyze and develop a provable correlation between privacy loss and other DP parameters considering the variations of attacks and their impacts along with DP constraints. This will enable modern power grid designers to develop, design, and employ DP-based fault-tolerant models in data-driven power grid operation and control. Furthermore, we conduct feasibility and quality-of-service (QoS) analysis of the DP mechanism and the grid to achieve certified robustness. Feasibility analysis of the privacy measure provides an assessment of the practicability of differential privacy in grid operation and warns the operators about the possible failures and incoming attacks on physical layer operations. QoS is analyzed in the power grid in terms of data accuracy, computational overhead, and resource utilization.

Level thesis:degree_level

Master's Degree

Year dc:date.issued

2022

Author dc:creator

• Hossain, Md Tamjid

Advisor dc:contributor.advisor

• La, Hung

Committee members dc:contributor.committeemember

• La, Hung
• Badsha, Shahriar
• Ben-Idris, Mohammed

• Blockchain
• Cyber-physical Energy Systems (CPES)
• Differential Privacy (DP)
• False Data Injection Attack (FDIA)
• Smart Grid (SG)
• Supervisory Control and Data Acquisition (SCADA)

Statement dc:rights

• Creative Commons Attribution-NonCommercial-ShareAlike 4.0 United States

Handle dc:identifier.uri

http://hdl.handle.net/11714/8154

OAI identifier oai:identifier

oai:scholarwolf.unr.edu:11714/8154