Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Roberts, Ciaran; Scaglione, Anna; Jamei, Mahdi; Gentz, Reinhard; Peisert, Sean; Stewart, Emma; McParland, Chuck; McEachern, Alex; Arnold, Dan

doi:10.1109/tsg.2019.2936016

Cited by 11 publications

(4 citation statements)

References 22 publications

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“…Based on multi-level and multi-level theory, classify and process the data from different sources. According to the data types of different attributes, different fusion methods are adopted to provide the basis for security decision-making to realize network security situational awareness [14]. Data fusion mainly includes three levels: data fusion, feature fusion, and security decision fusion.…”

Section: Collection and Processing Of Packet Informationmentioning

confidence: 99%

A network security situational awareness system for text classification

Pang

Shao‐Horn²,

Tao³

et al. 2022

J. Phys.: Conf. Ser.

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The evaluation function of the existing network security situational awareness system is not perfect and often causes large average absolute errors. Therefore, a network security situational awareness system for text classification is designed. The hardware part selects the sensor main control chip and connects the circuit power supply to ensure the safe and stable operation of the whole system. In the software part, the data packet information is collected and processed to remove the data noise, and the information extraction technology is used to construct the classification model of this paper. The network abnormal behavior is identified according to the host log, the data characteristics of security behavior are extracted, and the system module evaluation function is set according to the extraction results. The experimental results show that the average absolute error of the designed system is less than that of the other three existing systems, and the performance of the security situational awareness system is better.

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Section: Collection and Processing Of Packet Informationmentioning

confidence: 99%

A network security situational awareness system for text classification

Pang

Shao‐Horn²,

Tao³

et al. 2022

J. Phys.: Conf. Ser.

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“…SCD is used to make the power system operation process clear and visible and analyze the critical interactions in CPPS qualitatively. In [49], the usual sequential order of the control commands is modelled as { , +1 } where { 1 , 2 , … } are the defined set of transitions. The false sequential logic attack on the SCADA system changes the control commands as { +1 , }.…”

Section: (Ii) Finite State Machine (Fsm) Modelmentioning

confidence: 99%

“…The various methods of risk [41][42][43][44] and vulnerability assessment [45][46][47][48] from the component level to systemwide impacts, with cyber model assessment and physical model assessment, are performed. Substantial work on cyber-attack detection and mitigation for CPPS by monitoring the network traffic of the Supervisory Control and Data Acquisition(SCADA)/Phasor Measurement Unit(PMU) system in the power system control centre was performed in [49][50][51][52]. It forms the overall cybersecurity feature for the CPPS, which is entirely different from the traditional information security with advanced data analytics and machine learning algorithms.…”

mentioning

confidence: 99%

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

Yohanandhan

Elavarasan²,

Premkumar³

et al. 2020

IEEE Access

235

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Cyber-Physical System (CPS) is a new kind of digital technology that increases its attention across academia, government, and industry sectors and covers a wide range of applications like agriculture, energy, medical, transportation, etc. The traditional power systems with physical equipment as a core element are more integrated with information and communication technology, which evolves into the Cyber-Physical Power System (CPPS). The CPPS consists of a physical system tightly integrated with cyber systems (control, computing, and communication functions) and allows the two-way flows of electricity and information for enabling smart grid technologies. Even though the digital technologies monitoring and controlling the electric power grid more efficiently and reliably, the power grid is vulnerable to cybersecurity risk and involves the complex interdependency between cyber and physical systems. Analyzing and resolving the problems in CPPS needs the modelling methods and systematic investigation of a complex interaction between cyber and physical systems. The conventional way of modelling, simulation, and analysis involves the separation of physical domain and cyber domain, which is not suitable for the modern CPPS. Therefore, an integrated framework needed to analyze the practical scenario of the unification of physical and cyber systems. A comprehensive review of different modelling, simulation, and analysis methods and different types of cyber-attacks, cybersecurity measures for modern CPPS is explored in this paper. A review of different types of cyber-attack detection and mitigation control schemes for the practical power system is presented in this paper. The status of the research in CPPS around the world and a new path for recommendations and research directions for the researchers working in the CPPS are finally presented.

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“…Identifying the potential and serious threats that can attack the power electronic system is a severe issue and holds various challenges [102]. Our target is to discuss the various CPS security threats in general and then on two power electronics applications, e.g., smart grid and industrial control systems.…”

Section: The Power Electronics Cps Security Threatsmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities, mitigation approaches on the power electronics and the security challenges for the smart grid applications. With the rapid evolution of the physical systems in the power electronics applications for interfacing renewable energy sources that incorporate with cyber frameworks, the cyber threats have a critical impact on the smart grid performance. Due to the existence of electronic devices in the smart grid applications, which are interconnected through communication networks, these networks may be subjected to severe cyber-attacks by hackers. If this occurs, the digital controllers can be physically isolated from the control loop. Therefore, the cyber-physical systems (CPSs) in the power electronic systems employed in the smart grid need special treatment and security. In this paper, an overview of the power electronics systems security on the networked smart grid from the CP perception, as well as then emphases on prominent CP attack patterns with substantial influence on the power electronics components operation along with analogous defense solutions. Furthermore, appraisal of the CPS threats attacks mitigation approaches, and encounters along the smart grid applications are discussed. Finally, the paper concludes with upcoming trends and challenges in CP security in the smart grid applications.

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Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security

Cited by 11 publications

References 22 publications

A network security situational awareness system for text classification

A network security situational awareness system for text classification

Cyber-Physical Power System (CPPS): A Review on Modeling, Simulation, and Analysis With Cyber Security Applications

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

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