Review of Cyber-Attacks on Smart Grid System

Mavale, Shreyas; Katade, Jayesh; Dunbray, Nachiket; Nimje, Sparsh; Patil, Balaji

doi:10.1007/978-981-16-8862-1_42

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The cyber-attack of the network is causing failures in the operation and power supply, synchronization loss with complete electricity theft. The FDI and distributed Dos are attacks to SG networks [28]. To prevention and detection of these threats must be improve the overall security.…”

Section: Smart Grid Securitymentioning

confidence: 99%

Identification scheme of false data injection attack based on deep learning algorithms for smart grids

Merza

Hussein

Ali

2023

IJEECS

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This paper presents the artificial intelligence (AI) techniques based on the deep learning algorithms to diagnose false data injection (FDI) attacks to smart grids with the measurement data in real-time. The power and data flow between end-user consumers and all components of the advanced metering infrastructure (AMI) and supervisory control and data acquisition (SCADA) system in the SG is bidirectional flow by advanced communication networks. For all the advantages of the SG come with, they remain at risk to a series of many potential threats and ongoing attacks. The conditional-deep-belief-network (CDBN) architecture is employed to un-observable FDI attacks which pass the state-vector-estimator (SVE) mechanisms. The IEEE 118 bus, and IEEE 300 bus power system have been used to evaluate our detection scheme. Finally, the suggested CDBN scheme is compared with other detection such as artificial neural network (ANN) and support vector machine (SVM). It is observed that the simulation result shows that suggested detection methods can attain a high accuracy of unobservable FDI attacks.

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Section: Smart Grid Securitymentioning

confidence: 99%

Identification scheme of false data injection attack based on deep learning algorithms for smart grids

Merza

Hussein

Ali

2023

IJEECS

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“…However, with each step of automation and digitalization, there are emerging risks [ 5 ] and system vulnerabilities [ 6 ] that need to be adequately addressed [ 7 ], and appropriate mitigation measures taken to reduce or eliminate them. Addressing cyber security in the “world” of technological systems, where information and communication technologies (ICT) are combined with industrial control systems (ICS), while at the same time being required to meet the technical and technological requirements specified by ISO and IEC standards, is a non-trivial and complex issue [ 8 ] that was the focus of many scientific and research teams collaborating within the industry for many years [ 9 ], and is still relevant and open.…”

Section: Introductionmentioning

confidence: 99%

Security Baseline for Substation Automation Systems

Horálek

Soběslav

2023

Sensors

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The use of information technology and the automation of control systems in the energy sector enables a more efficient transmission and distribution of electricity. However, in addition to the many benefits that the deployment of intelligent and largely autonomous systems brings, it also carries risks associated with information and cyber security breaches. Technology systems form a specific and critical communication infrastructure, in which powerful control elements integrating IoT principles and IED devices are present. It also contains intelligent access control systems such as RTU, IDE, HMI, and SCADA systems that provide communication with the data and control center on the outer perimeter. Therefore, the key question is how to comprehensively protect these specialized systems and how to approach security implementation projects in this area. To establish rules, procedures, and techniques to ensure the cyber security of smart grid control systems in the energy sector, it is necessary to understand the security threats and bring appropriate measures to ensure the security of energy distribution. Given the use of a wide range of information and industrial technologies, it is difficult to protect energy distribution systems using standard constraints to protect common IT technologies and business processes. Therefore, as part of a comprehensive approach to cyber security, specifics such as legislative framework, technological constraints, international standards, specialized protocols or company processes, and many others need to be considered. Therefore, the key question is how to comprehensively protect these specialized systems and how to approach security implementation projects in this area. In this article, a basic security concept for control systems of power stations, which are part of the power transmission and distribution system, is presented based on the Smart Grid domain model with emphasis on substation intelligence, according to the Purdue model. The main contribution of the paper is the comprehensive design of mitigation measures divided into mandatory and recommended implementation based on the standards defined within the MITRE ATT&CK matrix specified, concerning the specifications of intelligent distribution substations. The proposed and industry-tested solution is mapped to meet the international security standards ISO 27001 and national legislation reflecting the requirements of NIS2. This ensures that the security requirements will be met when implementing the proposed Security Baseline.

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Cyber Vulnerabilities of Modern Power Systems

Khan

Beg

2023

Power Systems

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Review of Cyber-Attacks on Smart Grid System

Cited by 4 publications

References 13 publications

Identification scheme of false data injection attack based on deep learning algorithms for smart grids

Identification scheme of false data injection attack based on deep learning algorithms for smart grids

Security Baseline for Substation Automation Systems

Cyber Vulnerabilities of Modern Power Systems

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