Towards modelling the impact of cyber attacks on a smart grid

2011 ◽  
Vol 6 (1) ◽  
pp. 2 ◽  
Author(s):  
D. Kundur ◽  
X. Feng ◽  
S. Mashayekh ◽  
S. Liu ◽  
T. Zourntos ◽  
...  
Keyword(s):  
Smart Grid ◽  
Cyber Attacks ◽  
The Impact

scholarly journals A Multi-Layer Security Scheme for Mitigating Smart Grid Vulnerability against Faults and Cyber-Attacks

2021 ◽  
Vol 11 (21) ◽  
pp. 9972
Author(s):  
Jian Chen ◽  
Mohamed A. Mohamed ◽  
Udaya Dampage ◽  
Mostafa Rezaei ◽  
Saleh H. Salmen ◽  
...  
Keyword(s):  
Smart Grid ◽  
Cyber Security ◽  
Power Grid ◽  
Cyber Attacks ◽  
Security Protocol ◽  
Comprehensive Approach ◽  
Transform Method ◽  
General Role ◽  
Uncertainty Parameters ◽  
The Impact

To comply with electric power grid automation strategies, new cyber-security protocols and protection are required. What we now experience is a new type of protection against new disturbances namely cyber-attacks. In the same vein, the impact of disturbances arising from faults or cyber-attacks should be surveyed by network vulnerability criteria alone. It is clear that the diagnosis of vulnerable points protects the power grid against disturbances that would inhibit outages such as blackouts. So, the first step is determining the network vulnerable points, and then proposing a support method to deal with these outages. This research proposes a comprehensive approach to deal with outages by determining network vulnerable points due to physical faults and cyber-attacks. The first point, the network vulnerable points against network faults are covered by microgrids. As the second one, a new cyber-security protocol named multi-layer security is proposed in order to prevent targeted cyber-attacks. The first layer is a cyber-security-based blockchain method that plays a general role. The second layer is a cyber-security-based reinforcement-learning method, which supports the vulnerable points by monitoring data. On the other hand, the trend of solving problems becomes routine when no ambiguity arises in different sections of the smart grid, while it is far from a big network’s realities. Hence, the impact of uncertainty parameters on the proposed framework needs to be considered. Accordingly, the unscented transform method is modeled in this research. The simulation results illustrate that applying such a comprehensive approach can greatly pull down the probability of blackouts.

scholarly journals Game Theoretic Honeypot Deployment in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4199
Author(s):  
Panagiotis Diamantoulakis ◽  
Christos Dalamagkas ◽  
Panagiotis Radoglou-Grammatikis ◽  
Panagiotis Sarigiannidis ◽  
George Karagiannidis
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Repeated Game ◽  
Cyber Attacks ◽  
Power Grids ◽  
Self Healing ◽  
Security Challenges ◽  
Game Theoretic ◽  
Use Of Internet ◽  
The Impact

The smart grid provides advanced functionalities, including real-time monitoring, dynamic energy management, advanced pricing mechanisms, and self-healing, by enabling the two-way flow of power and data, as well as the use of Internet of Things (IoT) technologies and devices. However, converting the traditional power grids to smart grids poses severe security challenges and makes their components and services prone to cyber attacks. To this end, advanced techniques are required to mitigate the impact of the potential attacks. In this paper, we investigate the use of honeypots, which are considered to mimic the common services of the smart grid and are able to detect unauthorized accesses, collect evidence, and help hide the real devices. More specifically, the interaction of an attacker and a defender is considered, who both optimize the number of attacks and the defending system configuration, i.e., the number of real devices and honeypots, respectively, with the aim to maximize their individual payoffs. To solve this problem, game theoretic tools are used, considering an one-shot game and a repeated game with uncertainty about the payoff of the attacker, where the Nash Equilibrium (NE) and the Bayesian NE are derived, respectively. Finally, simulation results are provided, which illustrate the effectiveness of the proposed framework.

scholarly journals Network Attack Path Selection and Evaluation Based on Q-Learning

2020 ◽  
Vol 11 (1) ◽  
pp. 285
Author(s):  
Runze Wu ◽  
Jinxin Gong ◽  
Weiyue Tong ◽  
Bing Fan
Keyword(s):  
Distribution System ◽  
Path Selection ◽  
Cyber Attacks ◽  
Power Distribution System ◽  
Q Learning ◽  
Attack Model ◽  
Cross Domain ◽  
Time Operation ◽  
Attack Path ◽  
The Impact

As the coupling relationship between information systems and physical power grids is getting closer, various types of cyber attacks have increased the operational risks of a power cyber-physical System (CPS). In order to effectively evaluate this risk, this paper proposed a method of cross-domain propagation analysis of a power CPS risk based on reinforcement learning. First, the Fuzzy Petri Net (FPN) was used to establish an attack model, and Q-Learning was improved through FPN. The attack gain was defined from the attacker’s point of view to obtain the best attack path. On this basis, a quantitative indicator of information-physical cross-domain spreading risk was put forward to analyze the impact of cyber attacks on the real-time operation of the power grid. Finally, the simulation based on Institute of Electrical and Electronics Engineers (IEEE) 14 power distribution system verifies the effectiveness of the proposed risk assessment method.

Cyber attacks on PMU placement in a smart grid: Characterization and optimization

2021 ◽  
Vol 212 ◽  
pp. 107586
Author(s):  
Weiyong Ding ◽  
Maochao Xu ◽  
Yu Huang ◽  
Peng Zhao ◽  
Fengyi Song
Keyword(s):  
Smart Grid ◽  
Cyber Attacks ◽  
Pmu Placement

scholarly journals System Level Simulation of Microgrid Power Electronic Systems

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 644
Author(s):  
Michal Frivaldsky ◽  
Jan Morgos ◽  
Michal Prazenica ◽  
Kristian Takacs
Keyword(s):  
Smart Grid ◽  
Simulation Model ◽  
Real Time ◽  
Power Converter ◽  
System Level ◽  
Time Behavior ◽  
Operational Parameters ◽  
System Level Simulation ◽  
Time Operation ◽  
The Impact

In this paper, we describe a procedure for designing an accurate simulation model using a price-wised linear approach referred to as the power semiconductor converters of a DC microgrid concept. Initially, the selection of topologies of individual power stage blocs are identified. Due to the requirements for verifying the accuracy of the simulation model, physical samples of power converters are realized with a power ratio of 1:10. The focus was on optimization of operational parameters such as real-time behavior (variable waveforms within a time domain), efficiency, and the voltage/current ripples. The approach was compared to real-time operation and efficiency performance was evaluated showing the accuracy and suitability of the presented approach. The results show the potential for developing complex smart grid simulation models, with a high level of accuracy, and thus the possibility to investigate various operational scenarios and the impact of power converter characteristics on the performance of a smart gird. Two possible operational scenarios of the proposed smart grid concept are evaluated and demonstrate that an accurate hardware-in-the-loop (HIL) system can be designed.

scholarly journals Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks

Automatica ◽  
2021 ◽  
Vol 128 ◽  
pp. 109551
Author(s):  
Jianyu Xu ◽  
Bin Liu ◽  
Huadong Mo ◽  
Daoyi Dong
Keyword(s):  
Smart Grid ◽  
Cyber Attacks

scholarly journals COVID-19 and Beyond: Employee Perceptions of the Efficiency of Teleworking and Its Cybersecurity Implications

2021 ◽  
Vol 13 (12) ◽  
pp. 6750
Author(s):  
Andreja Mihailović ◽  
Julija Cerović Smolović ◽  
Ivan Radević ◽  
Neli Rašović ◽  
Nikola Martinović
Keyword(s):  
Information Security ◽  
Latent Variables ◽  
Structural Equation ◽  
Relevant Literature ◽  
Cyber Attacks ◽  
Employee Perceptions ◽  
Organizational Efficiency ◽  
Digital Information ◽  
Starting Point ◽  
The Impact

The main idea of this research is to examine how teleworking has affected employee perceptions of organizational efficiency and cybersecurity before and during the COVID-19 pandemic. The research is based on an analytical and empirical approach. The starting point of the research is a critical and comprehensive analysis of the relevant literature regarding the efficiency of organizations due to teleworking, digital information security, and cyber risk management. The quantitative approach is based on designing a structural equation model (SEM) on a sample of 1101 respondents from the category of employees in Montenegro. Within the model, we examine simultaneously the impact of their perceptions on the risks of teleworking, changes in cyber-attacks during teleworking, organizations’ capacity to respond to cyber-attacks, key challenges in achieving an adequate response to cyber-attacks, as well as perceptions of key challenges related to cybersecurity. The empirical aspects of our study involve constructing latent variables that correspond to different elements of employee perception; namely, their perception of organizational efficiency and the extent to which the digital information security of their organizations has been threatened during teleworking during the pandemic.

Computing the impact of cyber attacks on complex missions

2011 ◽  
Author(s):  
Scott Musman ◽  
Mike Tanner ◽  
Aaron Temin ◽  
Evan Elsaesser ◽  
Lewis Loren
Keyword(s):  
Cyber Attacks ◽  
The Impact
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