Cloud service security evaluation of smart grid using deep belief network

Chen, Liping; Li, Jun; Ha, Weitao

doi:10.1504/ijsnet.2020.107875

Cited by 10 publications

(2 citation statements)

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“…Ultimately, the applicability of the presented method in a cloud-based smart grid was tested. In [138], the authors analyzed a fundamental security problem in the scalable architecture of the smart grid cloud services. They evaluated risks involved in IoT-enabled smart grid security in terms of five distinctive features: (1) policy and organizational risks, (2) general technical risks, (3) SaaS risks, (4) PaaS risks, and (5) IaaS risks.…”

Section: Cloud-computing-based Methodsmentioning

confidence: 99%

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

et al. 2022

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Swift population growth and rising demand for energy in the 21st century have resulted in considerable efforts to make the electrical grid more intelligent and responsive to accommodate consumers’ needs better while enhancing the reliability and efficiency of modern power systems. Internet of Things (IoT) has appeared as one of the enabling technologies for smart energy grids by delivering abundant cutting-edge solutions in various domains, including critical infrastructures. As IoT-enabled devices continue to flourish, one of the major challenges is security issues, since IoT devices are connected through the Internet, thus making the smart grids vulnerable to a diverse range of cyberattacks. Given the possible cascading consequences of shutting down a power system, a cyberattack on a smart grid would have disastrous implications for the stability of all grid-connected infrastructures. Most of the gadgets in our homes, workplaces, hospitals, and on trains require electricity to run. Therefore, the entire grid is subject to cyberattacks when a single device is hacked. Such attacks on power supplies may bring entire cities to a standstill, resulting in massive economic losses. As a result, security is an important element to address before the large-scale deployment of IoT-based devices in energy systems. In this report, first, we review the architecture and infrastructure of IoT-enabled smart grids; then, we focus on major challenges and security issues regarding their implementation. Lastly, as the main outcome of this study, we highlight the advanced solutions and technologies that can help IoT-enabled smart grids be more resilient and secure in overcoming existing cyber and physical attacks. In this regard, in the future, the broad implementation of cutting-edge secure and data transmission systems based on blockchain techniques is necessary to safeguard the entire electrical grid against cyber-physical adversaries.

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Section: Cloud-computing-based Methodsmentioning

confidence: 99%

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

et al. 2022

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“…In [63], the authors introduced a secure home area network based on cloud of things, which is detrimental against brute force, replay and capture, and other attacks. In [64], a security evaluation model was proposed for a smart grid based on a deep belief network (DBN) comprised of multiple RBMs and a BP neural network. They evaluated security risks in five respects: policy and organizational risks, general technical risks, SaaS risks, PaaS risks, and IaaS risks.…”

Section: Cloud-based Detection and Mitigationmentioning

confidence: 99%

A Survey on Cybersecurity Challenges, Detection, and Mitigation Techniques for the Smart Grid

et al. 2021

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The world is transitioning from the conventional grid to the smart grid at a rapid pace. Innovation always comes with some flaws; such is the case with a smart grid. One of the major challenges in the smart grid is to protect it from potential cyberattacks. There are millions of sensors continuously sending and receiving data packets over the network, so managing such a gigantic network is the biggest challenge. Any cyberattack can damage the key elements, confidentiality, integrity, and availability of the smart grid. The overall smart grid network is comprised of customers accessing the network, communication network of the smart devices and sensors, and the people managing the network (decision makers); all three of these levels are vulnerable to cyberattacks. In this survey, we explore various threats and vulnerabilities that can affect the key elements of cybersecurity in the smart grid network and then present the security measures to avert those threats and vulnerabilities at three different levels. In addition to that, we suggest techniques to minimize the chances of cyberattack at all three levels.

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Cybersecurity Challenges in Microgrids: Inverter-Based Resources and Electric Vehicles

Tabassum¹,

Khalghani²

2023

Power Systems

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Cloud service security evaluation of smart grid using deep belief network

Cited by 10 publications

References 0 publications

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook

A Survey on Cybersecurity Challenges, Detection, and Mitigation Techniques for the Smart Grid

Cybersecurity Challenges in Microgrids: Inverter-Based Resources and Electric Vehicles

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