A concept for engineering smart grid security requirements based on SGAM models

Neureiter, Christian; Eibl, Günther; Engel, Dominik; Schlegel, Stefanie; Uslar, Mathias

doi:10.1007/s00450-014-0288-2

Cited by 21 publications

(11 citation statements)

References 5 publications

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“…These two flows are not only independent but also have mutual functional effects [5]. Smart grids utilize modern communication networks [6][7][8][9], cyber security measures [4], computational intelligence and efficient information systems throughout the energy production supply chain including distributed generation (DG) resources [10], transmission lines, substations, distribution lines, and end-users as an integrated complex system [11,12]. This description covers a full range of energy systems from the production point to the endpoints at the customer section.…”

Section: Introductionmentioning

confidence: 99%

“…Its purpose is to provide a clean, safe, reliable, flexible, and stable system. In these wide networks, interoperability of various production technologies, information and communication technologies with each other and adapting them to traditional infrastructures of power network leads to the complexity of smart grids [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…The smart grid communication technologies cover various types of networks with different areas and applications which should be fitted with relevant requirements [12,19]. Some network types are mentioned below [20]:…”

Section: Introductionmentioning

confidence: 99%

“…Managing media communication with heterogeneous Quality of Experience (QoE) for a wide variety of both users and data [12,13,53].…”

mentioning

confidence: 99%

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Image Transmission over Cognitive Radio Networks for Smart Grid Applications

2019

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Today, Smart Grids (SGs), as the goal of the next-generation power grid system, span extremely wide aspects from power generation to end-user utilities. In smart grids, Energy and Information flows are mutually dependent and performance degradation of one side may have a high impact on the other side. In this work, we introduce our architecture for monitoring of Wind Turbine (WT) farms in smart grids. In our proposed system an industrial camera is embedded on a Wireless Cognitive Radio node for each WT to capture appropriate images and stream videos to the cognitive coordinator. Any packet loss in transmission between an embedded cognitive node and the coordinator can degrade peak signal-to-noise ratio (PSNR) of the received images. The image streaming is a delay sensitive transmission which should be done in harsh environments in SGs. To tackle these challenging issues, we introduce our efficient model, called JOPSS, for joint optimization of both packet size and Number of Spectrum Sensing Iterations (NSSI) during image transmission in time-restricted conditions. We define our proposed objective function as the quotient of the Overhead Time and the Effective Transmission Time (ETT). In addition, we introduce our methods based on the Minimum of Overhead Time Channel Selection (MOTS) for the efficient channel selection along with Dynamic Parameter Updating Procedure (DPUP) to benefit different strategies in Mandatory and Proactive Handoffs (MHO/PHO). The obtained results show that noticeable improvements in both PSNR and feature-similarity (FSIM) can be achieved on our models JOPSS and JOPSS-SAFE, respectively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Managing media communication with heterogeneous Quality of Experience (QoE) for a wide variety of both users and data [12,13,53].…”

mentioning

confidence: 99%

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Image Transmission over Cognitive Radio Networks for Smart Grid Applications

2019

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“…Considerations for a domain specific risk assessment can be found for example in [21] or [58]. However, in general the introduced risk is based on potential impact and likelihood (for a successful attack).…”

Section: System Analysis-business Layermentioning

confidence: 99%

Domain Specific and Model Based Systems Engineering in the Smart Grid as Prerequesite for Security by Design

2016

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Abstract:The development of Smart Grid systems has proven to be a challenging task. Besides the inherent technical complexity, the involvement of different stakeholders from different disciplines is a major challenge. In order to maintain the strict security requirements, holistic systems engineering concepts and reference architectures are required that enable the integration, maintenance and evaluation of Smart Grid security. In this paper, a conceptual approach is presented on how to enable the integration of security by design in the development of Smart Grid Systems. A major cornerstone of this approach is the development of a domain-specific and standards-based modelling language on basis of the M/490 Smart Grid Architecture Model (SGAM). Furthermore, this modelling approach is utilized to develop a reference architecture model on basis of the National Institute of Standards and Technology (NIST) Logical Reference Model (LRM) with its integrated security concepts. The availability of a standards-based reference architecture model enables the instantiation of particular solutions with a profound basis for security. Moreover, it is demonstrated how such architecture models can be utilized to gain insights into potential security implications and furthermore can serve as a basis for implementation.

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