A Methodology for Security Classification applied to Smart Grid Infrastructures

Shrestha, Manish; Johansen, Christian; Noll, Josef; Roverso, Davide

doi:10.1016/j.ijcip.2020.100342

Cited by 62 publications

(21 citation statements)

References 25 publications

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“…• Identifying common security criteria by drawing up a list of security features amongst all protocols to establish a global base that could be applied for each protocol stack. Existing works [109,110,111] provide classifications and taxonomies of security features that could be applied generically. However, these works are focused on a specific aspect or a specific application of the IoT and not on IoT protocol stacks.…”

Section: Perspectives To Improve the Security Of Iot Networkmentioning

confidence: 99%

A survey of IoT protocols and their security issues through the lens of a generic IoT stack

et al. 2021

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The Internet of things (IoT) is rapidly growing, and many security issues relate to its wireless technology. These security issues are challenging because IoT protocols are heterogeneous, suit different needs, and are used in different application domains. From this assessment, we identify the need to provide a homogeneous formalism applying to every IoT protocols. In this survey, we describe a generic approach with twofold challenges. The first challenge we tackle is the identification of common principles to define a generic approach to compare IoT protocol stack. We base the comparison on five different criteria: the range, the openness of the protocol, the interoperability, the topology and the security practices of these IoT protocols. The second challenge we consider is to find a generic way to describe fundamental IoT attacks regardless of the protocol used. This approach exposes similar attacks amongst different IoT protocols and is divided into three parts: attacks focusing on packets (passive and active cryptographic attacks), attacks focusing on the protocol (MITM, Flooding, Sybil, Spoofing, Wormhole attacks) and attacks focusing on the whole system (Sinkhole, Selective forwarding attacks). It also highlights which mechanisms are different between two protocols to make both of them vulnerable to an attack. Finally, we draw some lessons and perspectives from this transversal study.

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Section: Perspectives To Improve the Security Of Iot Networkmentioning

confidence: 99%

A survey of IoT protocols and their security issues through the lens of a generic IoT stack

et al. 2021

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“…This brings greater flexibility to delivery, but also requires more complex communication, increases the complexity of management and control, and further complicates supply chain management. The last approach integrates command and control infrastructure with transmission, distribution and control of the infrastructure (Galbusera et al, 2020;Shrestha et al, 2020). Here, the demand response management solution approach is emerging as a critical infrastructure component linked to the transmission and distribution infrastructure and the supply chain.…”

Section: Literature Reviewmentioning

confidence: 99%

5G Wireless Networks in the Future Renewable Energy Systems

et al. 2021

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This paper focuses on the strategies that employ the fifth generation (5G) wireless networks in the optimal management of demand-side response in the future energy systems with the high penetration of renewable energy sources (RES). It also provides a comparison between advantages and challenges of 5G networks in demand-response renewable energy grids. Large-scale renewable energy integration always leads to a mismatch between generation and load demand in the short run due to the intermittency. It is often envisioned that 5G wireless networks that were recently launched and would most likely be fully deployed worldwide by 2035 would bring many technological and economic benefits for a plethora of the future high-renewables grids featuring electric transport and heating as well as prosumers generating renewable energy and trading it back to the grid (for example, in the vehicle-to-grid (V2G) framework) and among themselves using peer-to-peer (P2P) networks. Our paper offers a comprehensive analysis of 5G architecture with the perspectives of optimal management of demand-side response in the smart grids of the future. We show that the effective deployment of faster and more reliable wireless networks would allow faster data transfers and processing, including peer-to-peer (P2P) energy trade market, Internet of Vehicles (IoV) market, or faster smart metering, and thence open the path for the full-fledged Internet of Energy (IoE). Moreover, we show that 5G wireless networks might become in the future sustainable energy systems paving the road to even more advanced technologies and the new generations of networks. In addition, we demonstrate that for the effective management of energy demand-side response with a high share of renewables, certain forms of governments funding and incentives might be needed. These are required to strengthen the support of RES and helping to shift to the green economy.

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“…Ni Amin et al discuss Naive Bayes offers a new algorithm based on belief propagation (BP), a higher rate of detection than the current machine learning classifiers, such as support vector machines to detect both random and hidden FDIA in intelligent networks [76]. Shrestha et al propose a methodology called "Classification of intelligent network security» (SGSC), which focuses on the characteristics of the expanded measurement systems infrastructure (AMI), designed for complex systems, such as intelligent networks [77]. Jeyaraj et al suggest a deep learning algorithm for multi-dimensional analysis and classification of non-periodic electricity.…”

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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A Methodology for Security Classification applied to Smart Grid Infrastructures

Cited by 62 publications

References 25 publications

A survey of IoT protocols and their security issues through the lens of a generic IoT stack

A survey of IoT protocols and their security issues through the lens of a generic IoT stack

5G Wireless Networks in the Future Renewable Energy Systems

Investigation of Cyber-Attack Methods and Measures in Smart Grids

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