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Blockchain-Based Man-in-the-Middle (MITM) Attack Detection for Photovoltaic Systems

Conference · · 2021 IEEE Design Methodologies Conference (DMC)
 [1];  [2];  [2];  [2];  [3];  [2]
  1. Texas A&M University-Kingsville, TX (United States); Texas A&M University-Kingsville
  2. Texas A&M University-Kingsville, TX (United States)
  3. University of Arkansas, Fayetteville, AR (United States)

Cybersecurity of photovoltaic (PV) systems entails a much larger scope than just encryption and firewall of communications. For instance, integrity of data in transit between inverters and a cloud server can be compromised by authorized third-party, devices, and internal network within security perimeter (i.e., man-in-the-middle (MITM) attack). To address this challenge, this paper proposes a blockchain-based MITM attack detection method for a PV system. A breakthrough method includes screening network data, network intrusion detection, and hash comparison of in-transit data using distributed ledgers. Furthermore, the proposed method is implemented in Internet-of-Thing (IoT) security modules as clients of a blockchain network and validated by experiments.

Research Organization:
University of Arkansas, Fayetteville, AR (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
EE0009026
OSTI ID:
2344947
Journal Information:
2021 IEEE Design Methodologies Conference (DMC), Journal Name: 2021 IEEE Design Methodologies Conference (DMC)
Country of Publication:
United States
Language:
English

References (7)

Assessing DER network cybersecurity defences in a power‐communication co‐simulation environment journal August 2020
Investigating cyber-physical attacks against IEC 61850 photovoltaic inverter installations conference September 2015
An Observer Based Intrusion Detection Framework for Smart Inverters at the Grid-Edge conference October 2020
Blockchain for decentralized transactive energy management system in networked microgrids journal May 2019
Implementation of Intrusion Detection Methods for Distributed Photovoltaic Inverters at the Grid-Edge conference February 2020
Data-driven Cyberattack Detection for Photovoltaic (PV) Systems through Analyzing Micro-PMU Data conference October 2020
Roadmap for photovoltaic cyber security report December 2017

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