CP-SAM: Cyber-Physical Security Assessment Metric for Monitoring Microgrid Resiliency

Venkataramanan, V.; Hahn, Adam; Srivastava, Anurag K.

doi:10.1109/tsg.2019.2930241

Cited by 78 publications

(38 citation statements)

References 26 publications

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“…The physical systems measurements mainly consist of analog data and status data: the status data comprises the smart grid components; the analog data represent the system dynamics measurements. Basically, in the measurements, operators determine the optimum control strategies as well as produce the control commands for coordinating the actuators in the physical systems [85].…”

Section: Cp Viewpoint Of Networked Smart Grid Security a Smart Gmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities, mitigation approaches on the power electronics and the security challenges for the smart grid applications. With the rapid evolution of the physical systems in the power electronics applications for interfacing renewable energy sources that incorporate with cyber frameworks, the cyber threats have a critical impact on the smart grid performance. Due to the existence of electronic devices in the smart grid applications, which are interconnected through communication networks, these networks may be subjected to severe cyber-attacks by hackers. If this occurs, the digital controllers can be physically isolated from the control loop. Therefore, the cyber-physical systems (CPSs) in the power electronic systems employed in the smart grid need special treatment and security. In this paper, an overview of the power electronics systems security on the networked smart grid from the CP perception, as well as then emphases on prominent CP attack patterns with substantial influence on the power electronics components operation along with analogous defense solutions. Furthermore, appraisal of the CPS threats attacks mitigation approaches, and encounters along the smart grid applications are discussed. Finally, the paper concludes with upcoming trends and challenges in CP security in the smart grid applications.

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Section: Cp Viewpoint Of Networked Smart Grid Security a Smart Gmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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“…Some studies have been done on the cyber-physical system approach for smart power system design, modelling, simulation, and verification of cyber-physical systems, real-time requirements in cyber-physical systems, etc. [18][19][20][21]. It should be mentioned that cyberphysical system is not a new concept, and it has been used in a variety of domains, including thermal management [22], gaming and social network [23,24], cloud computing [25], and air-traffic management [26].…”

Section: Cyber-physical Systemmentioning

confidence: 99%

“…From (21), the jth olumn of R * is defined as r * j ∈ R m×1 , which represents the state variable j relationship with meter measurements from 1 to m. Considering the R * matrix, to successfully attack the state variable x j without being detected, the attack cost would be as follows:…”

Section: Attack Strategy Formulationmentioning

confidence: 99%

Cyber-Security of Smart Microgrids: A Survey

Nejabatkhah¹,

Liang

et al. 2020

Energies

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In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids, the cyber system and physical process are tightly coupled. Due to the cyber system’s vulnerabilities, any cyber incidents can have economic and physical impacts on their operations. In power electronics-intensive smart microgrids, cyber-attacks can have much more harmful and devastating effects on their operation and stability due to low inertia, especially in islanded operation. In this paper, the cyber–physical systems in smart microgrids are briefly studied. Then, the cyber-attacks on data availability, integrity, and confidentiality are discussed. Since a false data injection (FDI) attack that compromises the data integrity in the cyber/communication network is one of the most challenging threats for smart microgrids, it is investigated in detail in this paper. Such FDI attacks can target state estimation, voltage and frequency control, and smart microgrids’ protection systems. The economic and physical/technical impacts of the FDI attacks on smart microgrids are also reviewed in this paper. The defensive strategies against FDI attacks are classified into protection strategies, in which selected meter measurements are protected, and detection/mitigation strategies, based on either static or dynamic detection. In this paper, implementation examples of FDI attacks’ construction and detection/mitigation in smart microgrids are provided. Samples of recent cyber-security projects in the world, and critical cyber-security standards of smart grids, are presented. Finally, future trends of cyber-security in smart microgrids are discussed.

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“…Across e-commerce platforms, for example, fake online reviews from ostensible customers have caused significant damage on business [5], [6]. Security against cyber attacks has been a key issue in cyber-physical systems [7]. To uphold the performance of network, distributed algorithms have been designed to cope with the compromise of a group of malicious individuals and guarantee consensus of the opinions or states of normal individuals based on nearestneighbor rules.…”

Section: Introductionmentioning

confidence: 99%

Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks

Shang

2020

IEEE Systems Journal

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A continuous-time opinion dynamics with both expressed and private opinions on a given topic is introduced. An opinion consensus strategy is proposed to achieve resilience consensus against Byzantine attacks in dynamical networks. Necessary and sufficient criteria are established for guaranteeing consensus among normal nodes when the attacks are bounded in each neighborhood of normal nodes. A modification that allows opinion clustering, featuring non-global consensus, is presented. Numerical examples are worked out to illustrate the effectiveness of our theoretical results.

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CP-SAM: Cyber-Physical Security Assessment Metric for Monitoring Microgrid Resiliency

Cited by 78 publications

References 26 publications

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

Cyber-Security of Smart Microgrids: A Survey

Consensus and Clustering of Expressed and Private Opinions in Dynamical Networks Against Attacks

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