Distributed Screening of Hijacking Attacks in DC Microgrids

Subham Sahoo, Jimmy Chih-Hsien Peng, Sukumar Mishra, Tomislav Dragicevic

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Abstract

It is well known that distributed control can improve the resiliency of DC microgrids against multiple link failures as compared to centralized control. However, the control layer is still vulnerable to cyber attacks. Unlike widely studied false data injection attacks (FDIAs), which involve adding false signals on top of existing ones in the controller or communication links, hijacking attacks completely replace the existing signals. As a result, the compromised agent(s) diverge from steady state owing to imbalance in the iterative rule of consensus algorithm. To detect hijacking attacks, a novel distributed screening (DS) methodology is proposed. In addition to that, a fault detection (FD) metric is provided to assist the proposed attack detection strategy in differentiating between hijacking attacks and sensor faults. This reduces the complexity of decision making in the attack mitigation approach. Further, interoperability of the proposed detection metrics allows simultaneous detection of sensor faults and hijacking attacks. The performance of the proposed detection metrics is evaluated under simulation and experimental conditions to conclude that it successfully detects the attacked agent(s) as well as sensor fault(s).
Original languageEnglish
JournalI E E E Transactions on Power Electronics
Number of pages9
ISSN0885-8993
DOIs
Publication statusE-pub ahead of print - 2020

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Screening
Sensors
Fault detection
Interoperability
Telecommunication links
Decision making
Controllers

Keywords

  • DC Microgrids
  • Cyber Attacks
  • Distributed Control
  • Cooperative Control
  • Hijacking Attacks
  • Sensor Faults
  • Distributed Screening

Cite this

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title = "Distributed Screening of Hijacking Attacks in DC Microgrids",
abstract = "It is well known that distributed control can improve the resiliency of DC microgrids against multiple link failures as compared to centralized control. However, the control layer is still vulnerable to cyber attacks. Unlike widely studied false data injection attacks (FDIAs), which involve adding false signals on top of existing ones in the controller or communication links, hijacking attacks completely replace the existing signals. As a result, the compromised agent(s) diverge from steady state owing to imbalance in the iterative rule of consensus algorithm. To detect hijacking attacks, a novel distributed screening (DS) methodology is proposed. In addition to that, a fault detection (FD) metric is provided to assist the proposed attack detection strategy in differentiating between hijacking attacks and sensor faults. This reduces the complexity of decision making in the attack mitigation approach. Further, interoperability of the proposed detection metrics allows simultaneous detection of sensor faults and hijacking attacks. The performance of the proposed detection metrics is evaluated under simulation and experimental conditions to conclude that it successfully detects the attacked agent(s) as well as sensor fault(s).",
keywords = "DC Microgrids, Cyber Attacks, Distributed Control, Cooperative Control, Hijacking Attacks, Sensor Faults, Distributed Screening",
author = "Subham Sahoo and {Chih-Hsien Peng}, Jimmy and Sukumar Mishra and Tomislav Dragicevic",
year = "2020",
doi = "10.1109/TPEL.2019.2957071",
language = "English",
journal = "I E E E Transactions on Power Electronics",
issn = "0885-8993",
publisher = "IEEE",

}

Distributed Screening of Hijacking Attacks in DC Microgrids. / Sahoo, Subham; Chih-Hsien Peng, Jimmy ; Mishra, Sukumar ; Dragicevic, Tomislav.

In: I E E E Transactions on Power Electronics, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Distributed Screening of Hijacking Attacks in DC Microgrids

AU - Sahoo, Subham

AU - Chih-Hsien Peng, Jimmy

AU - Mishra, Sukumar

AU - Dragicevic, Tomislav

PY - 2020

Y1 - 2020

N2 - It is well known that distributed control can improve the resiliency of DC microgrids against multiple link failures as compared to centralized control. However, the control layer is still vulnerable to cyber attacks. Unlike widely studied false data injection attacks (FDIAs), which involve adding false signals on top of existing ones in the controller or communication links, hijacking attacks completely replace the existing signals. As a result, the compromised agent(s) diverge from steady state owing to imbalance in the iterative rule of consensus algorithm. To detect hijacking attacks, a novel distributed screening (DS) methodology is proposed. In addition to that, a fault detection (FD) metric is provided to assist the proposed attack detection strategy in differentiating between hijacking attacks and sensor faults. This reduces the complexity of decision making in the attack mitigation approach. Further, interoperability of the proposed detection metrics allows simultaneous detection of sensor faults and hijacking attacks. The performance of the proposed detection metrics is evaluated under simulation and experimental conditions to conclude that it successfully detects the attacked agent(s) as well as sensor fault(s).

AB - It is well known that distributed control can improve the resiliency of DC microgrids against multiple link failures as compared to centralized control. However, the control layer is still vulnerable to cyber attacks. Unlike widely studied false data injection attacks (FDIAs), which involve adding false signals on top of existing ones in the controller or communication links, hijacking attacks completely replace the existing signals. As a result, the compromised agent(s) diverge from steady state owing to imbalance in the iterative rule of consensus algorithm. To detect hijacking attacks, a novel distributed screening (DS) methodology is proposed. In addition to that, a fault detection (FD) metric is provided to assist the proposed attack detection strategy in differentiating between hijacking attacks and sensor faults. This reduces the complexity of decision making in the attack mitigation approach. Further, interoperability of the proposed detection metrics allows simultaneous detection of sensor faults and hijacking attacks. The performance of the proposed detection metrics is evaluated under simulation and experimental conditions to conclude that it successfully detects the attacked agent(s) as well as sensor fault(s).

KW - DC Microgrids

KW - Cyber Attacks

KW - Distributed Control

KW - Cooperative Control

KW - Hijacking Attacks

KW - Sensor Faults

KW - Distributed Screening

U2 - 10.1109/TPEL.2019.2957071

DO - 10.1109/TPEL.2019.2957071

M3 - Journal article

JO - I E E E Transactions on Power Electronics

JF - I E E E Transactions on Power Electronics

SN - 0885-8993

ER -