Software Defined Networking for Smart Grid Communications and Security Challenges

Shaileshwari, M U; Prasad, K. S. Nandini; Paventhan, A.

doi:10.1007/978-981-10-8249-8_9

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…A vector measuring means for neutralizing the effect of physical attack vectors (PMI) can synthesize data injection attack vectors based on measurements carefully and thus recorded can prevent detecting invalid data before determining the CCP [38]. Shaileshwari et al provide that the use of SDN network infrastructure against cyberattacks in smart networks and to provide a smart communication network is discussed [39]. Nazir et al discuss SCADA tools and techniques for detecting security vulnerabilities in the system.…”

Section: Investigation Of Security Of Smart Gridsmentioning

confidence: 99%

Investigation of Cyber-Attack Methods and Measures in Smart Grids

Avcı

2021

Sakarya University Journal of Science

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Smart grids have been developing rapidly with the development of technologies in recent years. In the field of critical infrastructures such as natural gas, electricity, water, and energy systems, which are among the smart grids, its use has been increasing in Turkey and all over the world in recent years. With the increase in the use of smart grids, security problems have also gained importance. Cybersecurity attacks against these networks are increasing every year. In this research study, smart cities, smart networks, and the most common cybersecurity attack methods against these systems were investigated. The studies on security in smart grids in the last 10 years have been examined and presented in a table. As a result of these researches, cyberattacks that are experienced and likely to occur in smart networks were determined. The 20 most used cyber-attack methods were analyzed. In addition, the measures that can be taken against cyber-attacks are analyzed in detail. In addition, in this article, studies on security problems in smart grids are examined and evaluated.

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Section: Investigation Of Security Of Smart Gridsmentioning

confidence: 99%

Investigation of Cyber-Attack Methods and Measures in Smart Grids

Avcı

2021

Sakarya University Journal of Science

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“…In the above equation, k represent the constant and n represents the number of parents and children of task WT. From the above two equations, total EC of the task is calculated using Equation (7).…”

Section: Data-intensive Workflow Applicationsmentioning

confidence: 99%

“…Also, improper use of resources by the application also contributes to the high energy consumption by the cloud data centers. High energy consumption by the data centers will lead to the high maintenance cost for the cloud service providers; hence, for the cloud service providers, it is very important to minimize the energy consumption and at the same time satisfy the service level agreement (SLA) parameters such as deadline and budget constraints of the users 7 . Further in the cloud data centers, various clustering method will be useful for applications that are data‐intensive.…”

Section: Introductionmentioning

confidence: 99%

“…High energy consumption by the data centers will lead to the high maintenance cost for the cloud service providers; hence, for the cloud service providers, it is very important to minimize the energy consumption and at the same time satisfy the service level agreement (SLA) parameters such as deadline and budget constraints of the users. 7 Further in the cloud data centers, various clustering method will be useful for applications that are data-intensive. Since there is a large amount of data transfer involved between the tasks in the workflow, various clustering algorithm identifies for each task, parents and child tasks with large data dependency.…”

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confidence: 99%

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Secure data transfer aware grouping technique for cloud‐assisted Internet of things applications

Raheema

Tarish

2019

Int J Communication

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Summary Task clustering process in distributed systems is used to improve the performance of executing workflow applications. In cloud‐assisted Internet of things (CIoT) framework, performing efficient task clustering is highly challenging because of the dynamic nature of cloud, availability of various billing models, and billing granularity options. This work aims at reducing the security overhead among the dependent tasks by using data transfer aware grouping technique (DTAGT), which takes into consideration the amount of data transferred among dependent tasks to obtain a cluster that reduces the security overhead in the network by optimizing the data transfer rate. Collecting the data in a CIoT environment is difficult, and the redundancy among the data from the sensors tends to decrease the lifetime of the network and also increases the latency has been resolved using proposed DTAGT. The overall objective of the proposed grouping algorithm is to reduce the total completion time and cost of executing workflow application with high reliability in CIoT platform. The proposed system is implemented, and the result analysis shows DTWCT (Dual‐tree complex wavelet transform) outperforms the other related works.

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Research and Implementation of Curve Card Based on Power Grid Control System

Zhang,

Chen,

et al. 2023

2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)

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Software Defined Networking for Smart Grid Communications and Security Challenges

Cited by 4 publications

References 1 publication

Investigation of Cyber-Attack Methods and Measures in Smart Grids

Investigation of Cyber-Attack Methods and Measures in Smart Grids

Secure data transfer aware grouping technique for cloud‐assisted Internet of things applications

Research and Implementation of Curve Card Based on Power Grid Control System

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