Cybersecurity infrastructure challenges in IoT based virtual power plants

Venkatachary, Sampath Kumar; Prasad, Jagdish; Samikannu, Ravi; Alagappan, Annamalai; Andrews, Leo John Baptist

doi:10.1080/09720510.2020.1724625

Cited by 8 publications

(8 citation statements)

References 20 publications

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“…The knowledge base needed to virtualize resources controlled by RTUs is at the disposal of the VPP node. The required data are collected heterogeneously at specified time intervals from smart electronic devices installed in RTUs and transferred to the VPP node to control and optimize the VPP performance through standard communication mechanisms [6,7]. Since the measurement data are collected from different installations with inhomogeneous scales and units, a unification is performed on them to represent them with the same units, labels, and scales [8].…”

Section: Introductionmentioning

confidence: 99%

High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

et al. 2022

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The considerable move towards the use of renewable energy resources has been provided by the digitization of energy systems with the help of virtual power plants (VPPs). However, due to the coincidence of this move with the introduction of new technologies in information and communications, joining these systems raises concerns about the privacy of personal data. The only real-world approach widely used in this case is to anonymize or pseudonymize the information associated with individuals in data received from distributed measurement devices. In this paper, we propose the method of classifying received data packets into different flows and assigning different access levels for each flow. This method makes data pseudonymous. Before this step, the received data, which has a different format, is unionized. To implement this idea, a tuple space flow classification algorithm is parallelized on a CPU cluster using MPI and OpenMP according to different scenarios. The CPU cluster consists of one head node and two computational nodes for packet classification operations. In this research, two scenarios have been used to run the CPU algorithm in parallel. The first scenario uses MPI and the second scenario uses a combination of MPI and OpenMP libraries. Also, the Tuple Space algorithm has been implemented on the computing systems using the mentioned libraries in the form of two scenarios using OpenMP and MPI. According to our results, the increase in the number of processor cores is linearly correlated with the increase in the speed of classification. Furthermore, while MPI uses more memory than OpenMP, it helps to achieve a higher speed of classification. In the combined method, the maximum speed of flow classification can be achieved if the number of processes and threads is equal to the number of processor cores. In other words, when the sum of processes and threads does not outnumber CPU cores, the least classification time and memory usage can be achieved.

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Section: Introductionmentioning

confidence: 99%

High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

et al. 2022

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“…Energy-ICT is an integrated physical-information network. The integration of energy and ICT also inevitably exposes itself to cybersecurity threats (see [6] and [71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86]). Venkatachary et al [71] remind us that ICT connects multiple sectors as well as that of energy; however, the interdependence of these sectors generates security gaps.…”

Section: Cybersecurity Issues Of Energy-ictmentioning

confidence: 99%

“…More and more ICT systems have been integrated into the IoT, including energy-ICT. Venkatachary et al [75] summarize the cybersecurity infrastructure challenges related to power plants under the IoT framework, which include reliability, data security and privacy, big data and networks, law and regulation, institutional barriers, confidentiality, availability, and integrity. They also point out that the cybersecurity of these power plants has two aspects: physical (hardware) and logical (software).…”

Section: Cybersecurity Issues Of Energy-ictmentioning

confidence: 99%

The Development and Issues of Energy-ICT: A Review of Literature with Economic and Managerial Viewpoints

Chen

Yang

2022

Energies

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This paper reviews the economic and managerial literature on the relationship between energy-ICT and the development of the green energy economy. It is summarized that there are four lines of existing literature on energy-ICT: cost and benefit analysis, fair competition issues, cybersecurity issues, and promotion policy issues. Even though ICT is energy-consuming, most of the existing empirical studies support the idea that energy-ICT has net positive effects on energy savings, energy efficiency improvement, emission reduction, and economic growth at both enterprise and economy-wide levels. Energy-ICT equips the platform operator with higher bargaining power, such that a governance mechanism to assure the fair access right of each entitled participant is required. A smarter energy-ICT network also becomes riskier, and hence the cybersecurity protection is more important than before. Future research and development opportunities remain on these issues of the fair competition, cybersecurity, and promotion policy of energy-ICT.

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“…The complexity of cybersecurity attacks in the form of disabling, tampering, reprogramming the control systems can lead to malfunctions, unavailability of system services during critical operations, which could lead to other consequences in the form of human life. (Venkatachary et al, 2018a ; Venkatachary, 2018b ; Venkatachary et al, 2020 ) In short, the cybersecurity attacks in the recent past has undergone a sea change. Some notable examples are black energy, Stuxnet and so on (Symantec, 2009 ; Symantec, 2011 ; Liu et al, 2012 ).…”

Section: Cybersecurity Trends and The Edge Centric Architecture For Vmentioning

confidence: 99%

Cybersecurity challenges in energy sector (virtual power plants) - can edge computing principles be applied to enhance security?

Venkatachary¹,

Alagappan

Andrews

2021

Energy Inform

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Distributed generators (D.G.’s) enable us to generate, supply and be self-reliant on power while also allows us to supply power to meet the demand through virtual power plants. The virtual power plants also help us analyse, control, optimise, and help bridge the gap of demand and supply in these vast energy requirements. With this also comes challenges associated with securing physical systems, data protection and information privacy. Recent technological advancements have aided cybercriminals to disrupt operations by carrying out deliberate attacks on the energy sector. Though security researchers have tried to mitigate the risks, vulnerabilities, and it remains a challenge. This paper aims to present a comprehensive Edge-based security architecture to help reduce the risks and help secure the physical systems and ensure privacy and data protection.

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Cybersecurity infrastructure challenges in IoT based virtual power plants

Cited by 8 publications

References 20 publications

High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

High-performance pseudo-anonymization of virtual power plant data on a CPU cluster

The Development and Issues of Energy-ICT: A Review of Literature with Economic and Managerial Viewpoints

Cybersecurity challenges in energy sector (virtual power plants) - can edge computing principles be applied to enhance security?

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