Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller

Pankaj Bhowmik; Michael Starke; Ben Dean; Madhu Chinthavali

doi:10.1109/CyberPELS49534.2020.9311536

Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller

Pankaj Bhowmik, Michael Starke, Ben Dean, Madhu Chinthavali

Power Electronics Systems Integration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Integration of renewable energy and energy storage based Distributed Energy Resource (DER) assets to the grid has seen an upsurge over the past few decades. Traditionally, energy would be generated at a thermal or nuclear power plant and then transmitted over long distance through the transmission grid and then supply to the customers at the distribution grid. Modern renewable energy based DER assets have brought energy production at the edge of distribution grid, which has made the grid vulnerable to cyber intrusion as the power flow controllers for such DER assets are now distributed across the grid from distribution level to transmission level. This paper discusses the vulnerability posed by such power flow controllers of DER assets and demonstrates a detection methodology for unauthorized access and manipulation of system configuration for Digital Signal Processor based Microcontrollers. Experimental results proving efficacy of the methodology have been shown in paper.

Original language	English
Title of host publication	2020 IEEE CyberPELS, CyberPELS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728195919
DOIs	https://doi.org/10.1109/CyberPELS49534.2020.9311536
State	Published - Oct 13 2020
Event	2020 IEEE CyberPELS, CyberPELS 2020 - Miami, United States Duration: Oct 13 2020 → …

Publication series

Name	2020 IEEE CyberPELS, CyberPELS 2020

Conference

Conference	2020 IEEE CyberPELS, CyberPELS 2020
Country/Territory	United States
City	Miami
Period	10/13/20 → …

Funding

The authors would like to gratefully acknowledge support from Oak Ridge National Laboratory for allowing this research and also for supporting post-doctoral associates with funds for self-developmental, and self-initiative research works. Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan

Keywords

Clocking
Digital Signal Processor
Edge Level Controller
Interrupt Service Routine
Vulnerability

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10.1109/CyberPELS49534.2020.9311536

Cite this

Bhowmik, P., Starke, M., Dean, B., & Chinthavali, M. (2020). Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller. In 2020 IEEE CyberPELS, CyberPELS 2020 Article 9311536 (2020 IEEE CyberPELS, CyberPELS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CyberPELS49534.2020.9311536

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Bhowmik, P, Starke, M, Dean, B & Chinthavali, M 2020, Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller. in 2020 IEEE CyberPELS, CyberPELS 2020., 9311536, 2020 IEEE CyberPELS, CyberPELS 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE CyberPELS, CyberPELS 2020, Miami, United States, 10/13/20. https://doi.org/10.1109/CyberPELS49534.2020.9311536

Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller. / Bhowmik, Pankaj; Starke, Michael; Dean, Ben et al.
2020 IEEE CyberPELS, CyberPELS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9311536 (2020 IEEE CyberPELS, CyberPELS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Bhowmik P, Starke M, Dean B, Chinthavali M. Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller. In 2020 IEEE CyberPELS, CyberPELS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9311536. (2020 IEEE CyberPELS, CyberPELS 2020). doi: 10.1109/CyberPELS49534.2020.9311536

Vulnerability Detection Methodology for a Digital Signal Processor Micro-Controller at Edge Level Distributed Energy Resource Controller

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