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Ransomware Security Threat Modeling for Photovoltaic Systems

Conference · · 2021 6th IEEE Workshop on the Electronic Grid (eGRID)
 [1];  [2];  [2];  [2];  [2];  [2]
  1. University of Texas at Austin, TX (United States); Texas A&M University-Kingsville
  2. Texas A&M University-Kingsville, TX (United States)
+ Show Author Affiliations

Ransomware attacks are one of the most dangerous cyber-attacks which can disrupt the operation of photovoltaic (PV) systems and incur an enormous economic loss. This paper introduces a ransomware security threat modeling method that identifies potential vulnerabilities, threats, and impacts of ransomware attacks targeting a PV system. Here, the security threat modeling consists of three steps: 1) system identification, 2) threat modeling that finds existing vulnerabilities, 3) attack modeling that designs attack profiles to succeed ransomware attacks, and 4) penetration testing that performs authorized cyber-attacks and analyzes impacts of the ransomware attack profiles using a real-time hardware-in-the-loop (HIL) PV system security testbed.

Research Organization:
University of Arkansas, Fayetteville, AR (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0009026
OSTI ID:
2344963
Journal Information:
2021 6th IEEE Workshop on the Electronic Grid (eGRID), Journal Name: 2021 6th IEEE Workshop on the Electronic Grid (eGRID)
Country of Publication:
United States
Language:
English

References (11)

Security Vulnerability and Mitigation in Photovoltaic Systems conference June 2021
An Active Detection Scheme for Cyber Attacks on Grid-tied PV Systems conference October 2020
Security Threat Modeling for Power Transformers in Cyber-Physical Environments conference February 2021
Assessing DER network cybersecurity defences in a power‐communication co‐simulation environment journal August 2020
A Review of Cyber–Physical Security for Photovoltaic Systems journal August 2022
An Observer Based Intrusion Detection Framework for Smart Inverters at the Grid-Edge conference October 2020
Perturbation-Based Diagnosis of False Data Injection Attack Using Distributed Energy Resources journal March 2021
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
Blockchain-Based Firmware Security Check and Recovery for Smart Inverters conference June 2021
Adaptive Resilient Operation of Cooperative Grid-Forming Converters Under Cyber Attacks conference October 2020

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Related Subjects

attack modeling
cybersecurity
penetration testing
photovoltaic (PV) systems
ransomware
threat modeling