Method to Evaluate the Impact of Cyberattacks Against Charging Piles on Distribution Network

Zhang, Yunan; Jiang, Yixin; Xu, Aidong; Chen, Hong; Chen, Jiaqi

doi:10.1109/appeec48164.2020.9220574

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…As such, the attack model is represented by a combination of actions compromising confidentiality, integrity, and availability. For example, [271] adopted a spatialtemporal forecast model based on analysis of three types of EVs to maximize attack benefits.…”

Section: B Impact Of Ev Attacks On the Adnsmentioning

confidence: 99%

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Khalaf,

Ayad,

Tushar

et al. 2024

IEEE Access

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Distribution systems are evolving from traditional passive networks into, what is known as, Active Distribution Networks (ADNs). Unlike traditional distribution networks, ADNs are characterized by bi-directional power flow, the high penetration of DERs, storage capabilities and sophisticated control strategies. Multiple layers of communications, sensing and computation are being integrated into ADNs for monitoring, control and protection of a variety of components and critical operations. This enhanced dependency on information and communication technologies, however, increases the exposure of ADNs to cyber-attacks. Several papers have been published in recent years with a focus on cyber-physical security (CPS) of smart grids. However, the published survey papers primarily emphasize the transmission level of smart grid threats and challenges, with little focus on the ADNs. Given the rapid deployment of ADNs and the increasing cyber threats against power grids and critical infrastructures, we are motivated, in this article, to present a review and survey focused, instead, on the latest research advancements in the area of CPS for ADNs. This paper represents the first survey of timely research in the area of CPS of ADNs with a focus on ADN critical operations and components. The cyber-physical aspects of each critical operation/component are analyzed. In addition, the challenges and requirements of associated communication protocols and standards are presented. Cybersecurity of ADN devices and sensors including Phasor Measurement Units (PMUs), smart meters, advanced metering infrastructure and protection relays are discussed in detail. Moreover, a thorough study of ADNs application drivers and enablers including microgrids, Electric Vehicles (EVs), Internet-of-Things (IoT) and smart homes is conducted. Potential and existing solutions by industry are highlighted. Finally, survey outcomes and directions for future work are presented to highlight emerging avenues of research.

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Section: B Impact Of Ev Attacks On the Adnsmentioning

confidence: 99%

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Khalaf,

Ayad,

Tushar

et al. 2024

IEEE Access

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“…Highly computerized and interconnected facilities open up digital access to equipment, and the benefits of information accessibility come at a price in terms of a higher risk of cyberattack, which poses an increasingly significant threat to industrial networks, e.g., in the energy, robotics, and automotive industries [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. While there are obvious methods to protect against attacks, including the isolation of information technology (IT) and operational technology (OT) networks and the precise definition of network privileges [ 9 ], unauthorized access to critical elements of such networks constantly remains a real threat [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Efficient Cyberattack Detection Methods in Industrial Control Systems

Marusak,

Nebeluk,

Wojtulewicz

et al. 2024

Sensors

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The article deals with the issue of detecting cyberattacks on control algorithms running in a real Programmable Logic Controller (PLC) and controlling a real laboratory control plant. The vulnerability of the widely used Proportional–Integral–Derivative (PID) controller is investigated. Four effective, easy-to-implement, and relatively robust methods for detecting attacks on the control signal, output variable, and parameters of the PID controller are researched. The first method verifies whether the value of the control signal sent to the control plant in the previous step is the actual value generated by the controller. The second method relies on detecting sudden, unusual changes in output variables, taking into account the inertial nature of dynamic plants. In the third method, a copy of the controller parameters is used to detect an attack on the controller’s parameters implemented in the PLC. The fourth method uses the golden run in attack detection.

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“…Cyber-attacks pose an increasingly significant threat to industrial networks. This applies to industries such as energy, robotics, and automotive [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. On the one hand, relatively obvious protection methods against such attacks exist, i.e., isolation of information technology (IT) and operational technology (OT) networks, as well as the precise definition of permissions for individual human and hardware elements of the network based on whitelisting [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

Zarzycki,

Chaber,

Cabaj

et al. 2023

Sensors

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This work is concerned with the vulnerability of a network industrial control system to cyber-attacks, which is a critical issue nowadays. This is because an attack on a controlled process can damage or destroy it. These attacks use long short-term memory (LSTM) neural networks, which model dynamical processes. This means that the attacker may not know the physical nature of the process; an LSTM network is sufficient to mislead the process operator. Our experimental studies were conducted in an industrial control network containing a magnetic levitation process. The model training, evaluation, and structure selection are described. The chosen LSTM network very well mimicked the considered process. Finally, based on the obtained results, we formulated possible protection methods against the considered types of cyber-attack.

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Method to Evaluate the Impact of Cyberattacks Against Charging Piles on Distribution Network

Cited by 7 publications

References 19 publications

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids

Efficient Cyberattack Detection Methods in Industrial Control Systems

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

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