Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems

Tariq, Muhammad; Ali, Mansoor; Naeem, Faisal; Poor, H. Vincent

doi:10.1109/jiot.2020.3042090

Cited by 79 publications

(31 citation statements)

References 22 publications

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“…This framework ensures information uprightness and classification however it doesn't ensure information flexibility. Muhammad et al [38] proposed 6G-enabled smart grids to prevent cyberattacks. Niloy et al [39] utilized a microgrid framework for customers to transfer energy to the grid in an appropriate adjustment of energy utilization through the use of renewable energy.…”

Section: Smart Gridsmentioning

confidence: 99%

Approaches towards Blockchain Innovation: A Survey and Future Directions

2021

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A blockchain is a decentralized peer to peer platform which provides security services based on some key concepts, namely authentication, confidentiality, integrity and authorization. It is the process of recording and keeping track of the resources without the intervention of a centralized authority. This paper provides an overview of blockchains, the structure of blockchains, consensus algorithms, etc., It compares the algorithms based on their utility and limitations. Though blockchains provide secure communication, there are some minimal data leaks which are discussed. Various security issues in blockchains are discussed such as denial of service attacks, etc., In addition to security, some other blockchain challenges are presented like scalability, reliability, interoperability, privacy and consensus mechanisms for integration with AI, IoT and edge computing. This paper also explains about the importance of blockchains in the fields of smart healthcare, smart grid, and smart financial systems. Overall, this paper gives the glimpse of various protocols, algorithms, applications, challenges and opportunities that are found in the blockchain domain.

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Section: Smart Gridsmentioning

confidence: 99%

Approaches towards Blockchain Innovation: A Survey and Future Directions

2021

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“…In Ref. [6], an online parametric estimate based on software defined controller was used with GPU enabled robust estimator. The graphical processing unit with deep learning algorithm, short-term memory, and an extended Kalman filter was used to solve the issue of massive connections.…”

Section: Literature Reviewmentioning

confidence: 99%

“…State estimation is used to build a grid topology at the supervisory control and management layer [5]. State estimation creates a matrix known as jacobian matrix by using the state data and covariance matrix that also helps with detection of errors [6].…”

Section: Introductionmentioning

confidence: 99%

State Estimation within IED Based Smart Grid Using Kalman Estimates

2021

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State Estimation is a traditional and reliable technique within power distribution and control systems. It is used for building a topology of the power grid network based on state measurements and current operational state of different nodes & buses. The protection of sensors and measurement units such as Intelligent Electronic Devices (IED) in Central Energy Management System (CEMS) against False Data Injection Attacks (FDIAs) is a big concern to grid operators. These are special kind of cyber-attacks that are directed towards the state & measurement data in such a way that mislead the CEMS into making incorrect decisions and create generation load imbalance. These are known to bypass the traditional bad data detection systems within central estimators. This paper presents the use of an additional novel state estimator based on Kalman filter along with traditional Distributed State Estimation (DSE) which is based on Weighted Least Square (WLS). Kalman filter is a feedback control mechanism that constantly updates itself based on state prediction and state correction technique and shows improvement in the estimates. The additional estimator output is compared with the results of DSE in order to identify anomalies and injection of false data. We evaluated our methodology by simulating proposed technique using MATPOWER over IEEE-14, IEEE-30, IEEE-118, IEEE-300 bus. The results clearly demonstrate the superiority of the proposed method over traditional state estimation.

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“…Substation has great significance to ensure long-distance power transmission and stable power supply [1]. To achieve 24-hour uninterrupted monitoring of the substation, a large number of substation Internet of things (SPIoT) devices are deployed to collect various types of information including temperature, humidity, and smoke [2,3]. However, traditional fiber-optical communication cannot meet the on-demand coverage and data transmission requirements of SPIoT due to poor scalability and high construction cost [4,5].…”

Section: Introductionmentioning

confidence: 99%

Matching Learning-Based Relay Selection for Substation Power Internet of Things

Wang

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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Wireless sensor network (WSN) can effectively solve the problems of weak coverage, blind coverage, and low survivability of smart substation communication networks by deploying multiple relay nodes and adopting multihop transmission. However, there are still some challenges in the traditional relay selection strategy of WSN in substation, including incomplete information and the selection conflicts among multisource nodes. In this paper, we propose a matching learning-based relay selection mechanism for WSN-based substation power Internet of things (SPIoT). Firstly, considering the electromagnetic interference caused by the operation of high-voltage equipment, a multihop transmission model of SPIoT is built. Furthermore, based on the upper confidence bound (UCB) algorithm and matching theory, a matching learning-based relay selection (MLRS) algorithm is proposed to minimize the energy consumption of SPIoT devices. Simulation results demonstrate that MLRS outperforms existing algorithms in terms of energy consumption and optimal selection probability.

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Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems

Cited by 79 publications

References 22 publications

Approaches towards Blockchain Innovation: A Survey and Future Directions

Approaches towards Blockchain Innovation: A Survey and Future Directions

State Estimation within IED Based Smart Grid Using Kalman Estimates

Matching Learning-Based Relay Selection for Substation Power Internet of Things

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