scholarly journals Optimal Wireless Smart Grid Networks Using Duo Attack Strategy

2020 ◽  
Vol 2 (2) ◽  
pp. 60-67
Author(s):  
Dr. Smys S. ◽  
Dr. Haoxiang Wang
Keyword(s):  
Smart Grid ◽  
Power Management ◽  
Power Distribution ◽  
High Performance ◽  
Wireless Networking ◽  
Communication Security ◽  
Governance System ◽  
Grid Networks ◽  
Supply Industry ◽  
Attack Strategy

The Smart Grid Network (SGN) is one of the fastest developing technology and has been widely used because of its high performance, in power governance system and current power supply industry. The restriction over wired infrastructure has been overcome because of Wireless Smart Grid Networks (WSGN) which offers the best solution for power management. The most commonly used wireless networking approaches used is the Cognitive Radio Network (CRN). However, when the WSGN approach used is CRN, there is a lot of concern over communication security. The major attaches faced are fended using spoofing and hamming in CRN. The proposed work using optimal power distribution in order to fence off spoofing and jamming known as Maximum Attacking Strategy. Both jamming and spoofing will be able to interfere with many signal channels in order to ensure proper functioning of the channels. The attack strategy proposed in our work uses Duo-Attack using Jamming and Spoofing to evaluate the experiment and record the observations.

scholarly journals SECURE AND SUSTAINABLE SMART GRID FRAME WORK USING THE CLOUD COMPUTING

2019 ◽  
Vol 01 (03) ◽  
pp. 137-146
Author(s):  
Smys S ◽  
Abul Bashar ◽  
Haoxiang Wang
Keyword(s):  
Cloud Computing ◽  
Smart Grid ◽  
Power Management ◽  
Power Distribution ◽  
Smart Grids ◽  
Co2 Emission ◽  
Computing Systems ◽  
Distribution Management ◽  
Security Services ◽  
Frame Work

The smart grid developments turning out to a promising technology for the two way communication of the electricity and the information are becoming more prominent in the present scenario due to the increasing demands in the power requirements. The smart grid utilizing the modern communication and the computing infrastructure makes this possible. This utilization of the modern communication and the computing systems make them even prone to the vulnerabilities, mishandlings and the miscommunications and necessary for a complex frame work for managing of the power distribution and generation to make them sustainable. So the paper proposes the cloud computing for the proper management and the protection of the smart grids to make them more secure against threats and sustainable by reducing the Co2 emission by the perfect management. The validation of the smart grid frame work using cloud computing by monitoring the power distribution, management and the security achieved over multiple usages show the enhanced power management and the security services provided by the cloud for the smart grid.

scholarly journals DAG-Based Distributed Ledger for Low-Latency Smart Grid Network

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3570 ◽  
Author(s):  
Seongjoon Park ◽  
Hwangnam Kim
Keyword(s):  
Smart Grid ◽  
Power Distribution ◽  
Smart Grids ◽  
Network Architecture ◽  
High Performance ◽  
Consensus Algorithm ◽  
Grid Network ◽  
Distributed Ledger ◽  
Energy Trade ◽  
Smart Grid Network

In this paper, we propose a scheme that implements a Distributed Ledger Technology (DLT) based on Directed Acyclic Graph (DAG) to generate, validate, and confirm the electricity transaction in Smart Grid. The convergence of the Smart Grid and distributed ledger concept has recently been introduced. Since Smart Grids require a distributed network architecture for power distribution and trading, the Distributed Ledger-based Smart Grid design is a spotlighted research domain. However, only the Blockchain-based methods, which are a type of the distributed ledger scheme, are currently either being considered or adopted in the Smart Grid. Due to computation-intensive consensus schemes such as Proof-of-Work and discrete block generation, Blockchain-based distributed ledger systems suffer from efficiency and latency issues. We propose a DAG-based distributed ledger for Smart Grids, called PowerGraph, to resolve this problem. Since a DAG-based distributed ledger does not need to generate blocks for confirmation, each transaction of the PowerGraph undergoes the validation and confirmation process individually. In addition, transactions in PowerGraph are used to keep track of the energy trade and include various types of transactions so that they can fully encompass the events in the Smart Grid network. Finally, to ensure that PowerGraph maintains a high performance, we modeled the PowerGraph performance and proposed a novel consensus algorithm that would result in the rapid confirmation of transactions. We use numerical evaluations to show that PowerGraph can accelerate the transaction processing speed by over 5 times compared to existing DAG-based DLT system.

Random Forest Based Power Sustainability and Cost Optimization in Smart Grid

2022 ◽  
Author(s):  
Danalakshmi D ◽  
Łukasz Wróblewski ◽  
Sheela A ◽  
A. Hariharasudan ◽  
Mariusz Urbański
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Smart Grid ◽  
Power Management ◽  
Power Distribution ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Experimental Results ◽  
Time Duration ◽  
Renewable Power

Presently power control and management play a vigorous role in information technology and power management. Instead of non-renewable power manufacturing, renewable power manufacturing is preferred by every organization for controlling resource consumption, price reduction and efficient power management. Smart grid efficiently satisfies these requirements with the integration of machine learning algorithms. Machine learning algorithms are used in a smart grid for power requirement prediction, power distribution, failure identification etc. The proposed Random Forest-based smart grid system classifies the power grid into different zones like high and low power utilization. The power zones are divided into number of sub-zones and map to random forest branches. The sub-zone and branch mapping process used to identify the quantity of power utilized and the non-utilized in a zone. The non-utilized power quantity and location of power availabilities are identified and distributed the required quantity of power to the requester in a minimal response time and price. The priority power scheduling algorithm collect request from consumer and send the request to producer based on priority. The producer analysed the requester existing power utilization quantity and availability of power for scheduling the power distribution to the requester based on priority. The proposed Random Forest based sustainability and price optimization technique in smart grid experimental results are compared to existing machine learning techniques like SVM, KNN and NB. The proposed random forest-based identification technique identifies the exact location of the power availability, which takes minimal processing time and quick responses to the requestor. Additionally, the smart meter based smart grid technique identifies the faults in short time duration than the conventional energy management technique is also proven in the experimental results.

scholarly journals Spoofing-Jamming Attack Strategy Using Optimal Power Distributions in Wireless Smart Grid Networks

2017 ◽  
Vol 8 (5) ◽  
pp. 2431-2439 ◽  
Author(s):  
Keke Gai ◽  
Meikang Qiu ◽  
Zhong Ming ◽  
Hui Zhao ◽  
Longfei Qiu
Keyword(s):  
Smart Grid ◽  
Grid Networks ◽  
Jamming Attack ◽  
Optimal Power ◽  
Attack Strategy

scholarly journals Digital Certificate Verification Scheme for Smart Grid using Fog Computing (FONICA)

2021 ◽  
Vol 13 (5) ◽  
pp. 2549
Author(s):  
Shahid Mahmood ◽  
Moneeb Gohar ◽  
Jin-Ghoo Choi ◽  
Seok-Joo Koh ◽  
Hani Alquhayz ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Efficient ◽  
Fog Computing ◽  
Security Threats ◽  
Certification Authority ◽  
Certificate Revocation ◽  
Grid Networks ◽  
Digital Certificates ◽  
Attack Surface ◽  
Energy Network

Smart Grid (SG) infrastructure is an energy network connected with computer networks for communication over the internet and intranets. The revolution of SGs has also introduced new avenues of security threats. Although Digital Certificates provide countermeasures, however, one of the issues that exist, is how to efficiently distribute certificate revocation information among Edge devices. The conventional mechanisms, including certificate revocation list (CRL) and online certificate status protocol (OCSP), are subjected to some limitations in energy efficient environments like SG infrastructure. To address the aforementioned challenges, this paper proposes a scheme incorporating the advantages and strengths of the fog computing. The fog node can be used for this purpose with much better resources closer to the edge. Keeping the resources closer to the edge strengthen the security aspect of smart grid networks. Similarly, a fog node can act as an intermediate Certification Authority (CA) (i.e., Fog Node as an Intermediate Certification Authority (FONICA)). Further, the proposed scheme has reduced storage, communication, processing overhead, and latency for certificate verification at edge devices. Furthermore, the proposed scheme reduces the attack surface, even if the attacker becomes a part of the network.

scholarly journals Architectural and functional classification of smart grid solutions

2019 ◽  
Vol 2 (S1) ◽  
Author(s):  
Friederike Wenderoth ◽  
Elisabeth Drayer ◽  
Robert Schmoll ◽  
Michael Niedermeier ◽  
Martin Braun
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power System ◽  
Power Distribution ◽  
Hierarchical Architecture ◽  
Distribution Grid ◽  
Active System ◽  
System Operation ◽  
Power System Operation

Abstract Historically, the power distribution grid was a passive system with limited control capabilities. Due to its increasing digitalization, this paradigm has shifted: the passive architecture of the power system itself, which includes cables, lines, and transformers, is extended by a communication infrastructure to become an active distribution grid. This transformation to an active system results from control capabilities that combine the communication and the physical components of the grid. It aims at optimizing, securing, enhancing, or facilitating the power system operation. The combination of power system, communication, and control capabilities is also referred to as a “smart grid”. A multitude of different architectures exist to realize such integrated systems. They are often labeled with descriptive terms such as “distributed,” “decentralized,” “local,” or “central." However, the actual meaning of these terms varies considerably within the research community.This paper illustrates the conflicting uses of prominent classification terms for the description of smart grid architectures. One source of this inconsistency is that the development of such interconnected systems is not only in the hands of classic power engineering but requires input from neighboring research disciplines such as control theory and automation, information and telecommunication technology, and electronics. This impedes a clear classification of smart grid solutions. Furthermore, this paper proposes a set of well-defined operation architectures specialized for use in power systems. Based on these architectures, this paper defines clear classifiers for the assessment of smart grid solutions. This allows the structural classification and comparison between different smart grid solutions and promotes a mutual understanding between the research disciplines. This paper presents revised parts of Chapters 4.2 and 5.2 of the dissertation of Drayer (Resilient Operation of Distribution Grids with Distributed-Hierarchical Architecture. Energy Management and Power System Operation, vol. 6, 2018).

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