FACTS Approach to Address Cybersecurity Issues in Electric Vehicle Battery Systems

Khalid, Asadullah; Sundararajan, Aditya; Hernandez, Alexander; Sarwat, Arif I.

doi:10.1109/temscon.2019.8813669

Cited by 30 publications

(21 citation statements)

References 15 publications

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“…In this vein, the IoT heavily augments the multiple gadgets and connected devices in our lives, for instance, in smart grids [11] and in transportation through electric vehicles (EV) [3]. Thus, the internet technology, although presenting countless advantages, also poses serious threats [28].…”

Section: The Internet Of Thingsmentioning

confidence: 99%

“…The IoT is a system where the Internet is linked to the physical world through sensors [2]. It can be deemed as the management of a network of devices, home appliances, and vehicles of the IoT, and is challenging due to the dynamic nature of the linkage between devices, actors, and resource constraints [3,4] involving hardware, software, sensors, and connectivity that allows them to connect, gather, and exchange data [5]. At the core of the IoT is the "smart factory", which comprehends several different elements: person, process, intelligent object, and technological ecosystem [6].…”

Section: Introductionmentioning

confidence: 99%

“…The IoT has therefore become prevalent over diverse sectors, with the Internet of Battlefield Things (IoBT) or the Internet of Vehicles (IoV) [3,9], along with its security issues, contributing to an increasing number of cyber-attacks. Consequently, there has been recent concern with cybersecurity in this domain, amid a lack of policy direction and a lack of understanding of user values related to cybersecurity in terms of the IoT, while policy has not been guided by key stakeholder values [10].…”

Section: Introductionmentioning

confidence: 99%

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Cybersecurity in the Internet of Things in Industrial Management

Raimundo

Rosário

2022

Applied Sciences

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Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited, as far as machine resources are concerned. In this way, traditional security does not fit in IoT systems. The issue of cybersecurity has become paramount to the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) in mitigating cybersecurity risk for organizations and end users. New cybersecurity technologies/applications present improvements for IoT security management. Nevertheless, there is a gap in the effectiveness of IoT cyber risk solutions. This review article discusses the literature trends around opportunities and threats in cybersecurity for IIoT, by reviewing 70 key articles discovered from a profound Scopus literature survey. It aims to present the current debate around the issue of IIoT rather than suggesting any particular technical solutions to solve network security problems.

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Section: The Internet Of Thingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cybersecurity in the Internet of Things in Industrial Management

Raimundo

Rosário

2022

Applied Sciences

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“…In this study, the communication requirement and standards for the Internet of electric vehicles are presented. In another research study, authors developed a framework for analysis, comparison, and test of standards (FACTS), proposed in [19], to identify cyberthreats in a battery management system (BMS).…”

Section: Cybersecurity Challenges In Grid-connected Ev Charging Stationsmentioning

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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“…However, understandably so, there are no references to management, protection, or exchange of data within this context. The domains of communication, information exchange, and cybersecurity all contain standards for DG that provide some detail on how data are exchanged domain [61–65, 104–112, 131, 132]. Further, there are three DG or DG related standards that discuss how data will be protected from attack [113, 114, 122, 133–135].…”

Section: Case Study: Dgmentioning

confidence: 99%

Adapting big data standards, maturity models to smart grid distributed generation: critical review

2020

Self Cite

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Big data standards and capability maturity models (CMMs) help developers build applications with reduced coupling and increased breadth of deployment. In smart grids, stakeholders currently work with data management techniques that are unique and customised to their own goals, thereby posing challenges for grid-wide integration and deployment. Although big data standards and CMMs exist for other domains, no work in the literature considers adapting them to smart grids, which will benefit from both. Further, existing smart grid standards and CMMs do not fully account for big data challenges. This study bridges the gap by analysing the role of big data in smart grids, and explores if and how big data standards and CMMs can be adapted specifically to ten distributed generation (DG) use-cases that use big data. In doing so, this work provides a useful starting point for researchers and industry members developing standards and CMM assessments for smart grid DG. 3 Emerging and existing big data standards Key big data standards are described below, their relevance to attributes and lifecycle stages summarised in Table 2.

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FACTS Approach to Address Cybersecurity Issues in Electric Vehicle Battery Systems

Cited by 30 publications

References 15 publications

Cybersecurity in the Internet of Things in Industrial Management

Cybersecurity in the Internet of Things in Industrial Management

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

Adapting big data standards, maturity models to smart grid distributed generation: critical review

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