Experimental study of Cloud Computing based SCADA in Electrical Power Systems

Grozev, Dimitar; Spasov, Grisha; Shopov, Mitko; Kakanakov, Nikolay; Petrova, Galidiya

doi:10.1109/et.2016.7753482

Cited by 9 publications

(2 citation statements)

References 3 publications

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“…[17] A fuzzy Petri network-based security defense model for SACADA systems [24] Best practices and recommendations for improving and maintaining security along with future directions to secure the cyber-physical systems are discussed [23] Use of Intel Software Guard eXtension (SGX) technology for confidentiality and integrity of SCADA monitoring data. [20] A testbed platform for the implementation of Cloud Computing in SCADA systems for Electrical Power Systems Category: Implementation and Standardization, Industry [43] Information security and risk assessment for the ICSs by PSCC [44] 21 steps by Department of Energy, USA, to make the SCADA systems secure [45] Standards for managing the data access, alarms, event management, and even Web access to the SCADA network devices by OPC foundation [47] An open-source Linux-based firewall that is capable of filtering Modbus packets by CISCO [48] Training the detectors to identify the malicious URLs in the network traffic by using the proxy logs of HTTP requests by CISCO Category: Dataset generation to train machine learning algorithms, Academia [73] Lawrence Berkeley National Lab (LBNL) dataset [68] ISOT dataset [76] Information Security Center of Excellence (ISCX) [74] UNSW (University of New South Wales) dataset [1] Setup for dataset generation [75] next-generation IDS dataset (NGIDS-DS) Category: IEEE Standardization [49] IEEE standard for security systems for nuclear power generating stations [50] IEEE Guide for electric power substation physical and electronic security [65] IEEE guide for Security aspects regarding the access, operation, configuration, and data retrieval from IEDs Department of Energy, USA, has identified 21 steps to make the SCADA systems secure [44]. The OPC Foundation is also another organization working towards the development of security standards for regulating the client-server access and open connectivity in industrial automation.…”

Section: Workmentioning

confidence: 99%

“…Colombo et al [19] discuss the cloud-based cyber-physical ICSs. Similarly, the authors in [20] present a testbed platform for the implementation of cloud computing in SCADA systems for electrical power systems. The authors demonstrate the operations of the traditional SCADA systems over the cloud computing platforms and integrate the main application modules of SCADA for electrical power metering on the cloud platforms.…”

Section: Related Workmentioning

confidence: 99%

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Cybersecurity for industrial control systems: A survey

Bhamare

Zolanvari

Erbad

et al. 2020

Computers & Security

216

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Industrial Control System (ICS) is a general term that includes supervisory control & data acquisition (SCADA) systems, distributed control systems (DCS), and other control system configurations such as programmable logic controllers (PLC). ICSs are often found in the industrial sectors and critical infrastructures, such as nuclear and thermal plants, water treatment facilities, power generation, heavy industries, and distribution systems. Though ICSs were kept isolated from the Internet for so long, significant achievable business benefits are driving a convergence between ICSs and the Internet as well as information technology (IT) environments, such as cloud computing. As a result, ICSs have been exposed to the attack vectors used in the majority of cyber-attacks. However, ICS devices are inherently much less secure against such advanced attack scenarios. A compromise to ICS can lead to enormous physical damage and danger to human lives. In this work, we have a close look at the shift of the ICS from stand-alone systems to cloud-based environments. Then we discuss the major works, from industry and academia towards the development of the secure ICSs, especially applicability of the machine learning techniques for the ICS cyber-security. The work may help to address the challenges of securing industrial processes, particularly while migrating them to the cloud environments.

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Section: Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Cybersecurity for industrial control systems: A survey

Bhamare

Zolanvari

Erbad

et al. 2020

Computers & Security

216

View full text Add to dashboard Cite

show abstract

An intelligent power distribution service architecture using cloud computing and deep learning techniques

Zhang

Wulan

Zhai

et al. 2018

Journal of Network and Computer Applications

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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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Experimental study of Cloud Computing based SCADA in Electrical Power Systems

Cited by 9 publications

References 3 publications

Cybersecurity for industrial control systems: A survey

Cybersecurity for industrial control systems: A survey

An intelligent power distribution service architecture using cloud computing and deep learning techniques

Development of a DSP based collaborative computing platform for power system

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