Development of Security Mechanisms in Cloud Based SCADA Systems

Alakbarov, Rashid; Hashimov, Mammad

doi:10.1109/pci60110.2023.10325946

2023 5th International Conference on Problems of Cybernetics and Informatics (PCI) 2023

DOI: 10.1109/pci60110.2023.10325946

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Development of Security Mechanisms in Cloud Based SCADA Systems

Rashid Alakbarov,

Mammad Hashimov

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2024

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Cited by 2 publications

References 9 publications

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Development of a DSP based collaborative computing platform for power system

Chen,

Huang,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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With the advancement of information technology, there has been tremendous progress in data production, processing, and storage technology, especially in data processing technology. With the rapid development of the power grid, its operation has become more intelligent and efficient. Traditional power system simulation and analysis tools have disadvantages, such as slow message transmission and the inability to share data, which cannot meet the requirements of modern power system simulation calculations. DSP was introduced and developed by the Southern Power Grid Research Institute and can perform various simulation calculations such as transient stability calculation, power flow calculation, and short circuit calculation. It is widely used in departments such as power planning and design. However, the data calculated by DSP is input through a data card, which is cumbersome and difficult to manage. In order to meet the new requirements of power system simulation analysis, a power system collaborative computing platform has been developed based on DSP, which makes DSP data maintenance and management more efficient and intuitive. It comprehensively improves the efficiency of power grid planning work. This article provides a detailed analysis of the architecture design and application problems of the power system collaborative computing platform, clarifies the requirements of large-scale interconnected power grids for simulation computing data management, and proposes solutions that can meet the needs of simulation computing data management in China’s power grid from two aspects: key data architecture issues and software architecture technology.

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Development of a DSP based collaborative computing platform for power system

Chen,

Huang,

Yang

et al. 2024

J. Phys.: Conf. Ser.

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A Survey of Security Challenges in Cloud-Based SCADA Systems

Wali,

Alshehry

2024

Computers

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Supervisory control and data acquisition (SCADA) systems enable industrial organizations to control and monitor real-time data and industrial processes. Migrating SCADA systems to cloud environments can enhance the performance of traditional systems by improving storage capacity, reliability, and availability while reducing technical and industrial costs. However, the increasing frequency of cloud cyberattacks poses a significant challenge to such systems. In addition, current research on cloud-based SCADA systems often focuses on a limited range of attack types, with findings scattered across various studies. This research comprehensively surveys the most common cybersecurity vulnerabilities and attacks facing cloud-based SCADA systems. It identifies four primary vulnerability factors: connectivity with cloud services, shared infrastructure, malicious insiders, and the security of SCADA protocols. This study categorizes cyberattacks targeting these systems into five main groups: hardware, software, communication and protocol-specific, control process, and insider attacks. In addition, this study proposes security solutions to mitigate the impact of cyberattacks on these control systems.

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Development of Security Mechanisms in Cloud Based SCADA Systems

Cited by 2 publications

References 9 publications

Development of a DSP based collaborative computing platform for power system

Development of a DSP based collaborative computing platform for power system

A Survey of Security Challenges in Cloud-Based SCADA Systems

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