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Cybersecurity of Electric Vehicle Charging.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Cybersecurity of Electric Vehicle Charging./
作者:
Acharya, Samrat.
面頁冊數:
1 online resource (223 pages)
附註:
Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Contained By:
Dissertations Abstracts International83-12B.
標題:
Electrical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29170231click for full text (PQDT)
ISBN:
9798438792659
Cybersecurity of Electric Vehicle Charging.
Acharya, Samrat.
Cybersecurity of Electric Vehicle Charging.
- 1 online resource (223 pages)
Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Thesis (Ph.D.)--New York University Tandon School of Engineering, 2022.
Includes bibliographical references
The electrification of end-use sectors -- transportation, buildings, and industries -- is an integral component of the global efforts towards decarbonization. However, these electrification efforts are futile or, less effective than they could otherwise have been, unless the power grids supplying electricity to such sectors are also decarbonized (via the use of renewable and carbon-free energy sources, e.g., hydro, nuclear, solar, and wind). Therefore, power grids have been transitioning to smart grids that are capable of hosting more renewable energy sources, supplying power to the electrified end-users, and establishing two way communication between grid operators and users. Such users in many sectors are increasingly embracing Internet of Things (IoT) devices and Artificial Intelligence (AI) techniques in their business models, imposing unprecedented cybersecurity challenges. Particularly alarming are the cyberattacks on the end-use sectors launched by manipulating the IoT devices and AI techniques, and leveraged by the poor security hygiene of end-users (e.g., the use of default passwords). This is because attackers can weaponize such compromised end-use sectors to hamper the operation and economic efficiency of the smart grid. Furthermore, the grid operators have less, if not none, direct monitoring mechanisms of the end-users to timely detect and defend the attacks. Therefore, identification of cyberthreats, promotion of awareness about the threats, and deployment of novel security techniques are the current needs to overcome the potential damage looming from large-scale cyberattacks.Due to the ubiquity and demonstrated potential of Electric Vehicles (EVs) in decarbonization of the transportation sector -- a major end-use sector, this dissertation identifies cyber vulnerabilities in the EV charging, as well as its business model, and proposes a defense mechanism for public Electric Vehicle Charging Stations (EVCSs). First, this dissertation reviews and generalizes the cyber-physical landscape of the EV-EVCS-smart grid ecosystem. Second, cyberthreats imposed by the public data on EV charging infrastructure and smart grids are analyzed. Third, this dissertation presents a transactive and cybersecurity analysis of data markets for public EVCS that optimize their operational decisions by leveraging private EV charging data. Fourth, the impact of false data injection attacks on Machine Learning (ML)-enabled Automated Demand Response (ADR) programs in smart grids is analyzed. Fifth, the dissertation proposes an optimal data-driven cyber insurance design model for public EVCSs as a defense mechanism to hedge the economic loss from cyberattacks. This dissertation uses public data on EVCS characteristics and charging usage, the power grid, and a utility in Manhattan, New York to demonstrate results.The dissertation finds that the communication protocols and operation standards in EV charging are non-uniform. Furthermore, public data on EV charging and the grid can facilitate remote attackers to launch attacks on the grid. Alternatively, data markets and ML-based operational models of the EVCS (e.g., ADR) tend to make the attack less impactful for the attackers relying on public data or some private data. Despite the difficulty posed to attackers, cyberattacks are commonplace. Thus, cyber insurance can be an effective mechanism to help small- and medium-sized EVCS businesses transfer their financial risks from cyberattacks. The work presented in this dissertation helps the stakeholders of the EV-EVCS-smart grid ecosystem to negotiate the cyber consensus. The results in the dissertation can be generically applied to the security of other end-use sectors and smart grids.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798438792659Subjects--Topical Terms:
649834
Electrical engineering.
Subjects--Index Terms:
Cyber insuranceIndex Terms--Genre/Form:
542853
Electronic books.
Cybersecurity of Electric Vehicle Charging.
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The electrification of end-use sectors -- transportation, buildings, and industries -- is an integral component of the global efforts towards decarbonization. However, these electrification efforts are futile or, less effective than they could otherwise have been, unless the power grids supplying electricity to such sectors are also decarbonized (via the use of renewable and carbon-free energy sources, e.g., hydro, nuclear, solar, and wind). Therefore, power grids have been transitioning to smart grids that are capable of hosting more renewable energy sources, supplying power to the electrified end-users, and establishing two way communication between grid operators and users. Such users in many sectors are increasingly embracing Internet of Things (IoT) devices and Artificial Intelligence (AI) techniques in their business models, imposing unprecedented cybersecurity challenges. Particularly alarming are the cyberattacks on the end-use sectors launched by manipulating the IoT devices and AI techniques, and leveraged by the poor security hygiene of end-users (e.g., the use of default passwords). This is because attackers can weaponize such compromised end-use sectors to hamper the operation and economic efficiency of the smart grid. Furthermore, the grid operators have less, if not none, direct monitoring mechanisms of the end-users to timely detect and defend the attacks. Therefore, identification of cyberthreats, promotion of awareness about the threats, and deployment of novel security techniques are the current needs to overcome the potential damage looming from large-scale cyberattacks.Due to the ubiquity and demonstrated potential of Electric Vehicles (EVs) in decarbonization of the transportation sector -- a major end-use sector, this dissertation identifies cyber vulnerabilities in the EV charging, as well as its business model, and proposes a defense mechanism for public Electric Vehicle Charging Stations (EVCSs). First, this dissertation reviews and generalizes the cyber-physical landscape of the EV-EVCS-smart grid ecosystem. Second, cyberthreats imposed by the public data on EV charging infrastructure and smart grids are analyzed. Third, this dissertation presents a transactive and cybersecurity analysis of data markets for public EVCS that optimize their operational decisions by leveraging private EV charging data. Fourth, the impact of false data injection attacks on Machine Learning (ML)-enabled Automated Demand Response (ADR) programs in smart grids is analyzed. Fifth, the dissertation proposes an optimal data-driven cyber insurance design model for public EVCSs as a defense mechanism to hedge the economic loss from cyberattacks. This dissertation uses public data on EVCS characteristics and charging usage, the power grid, and a utility in Manhattan, New York to demonstrate results.The dissertation finds that the communication protocols and operation standards in EV charging are non-uniform. Furthermore, public data on EV charging and the grid can facilitate remote attackers to launch attacks on the grid. Alternatively, data markets and ML-based operational models of the EVCS (e.g., ADR) tend to make the attack less impactful for the attackers relying on public data or some private data. Despite the difficulty posed to attackers, cyberattacks are commonplace. Thus, cyber insurance can be an effective mechanism to help small- and medium-sized EVCS businesses transfer their financial risks from cyberattacks. The work presented in this dissertation helps the stakeholders of the EV-EVCS-smart grid ecosystem to negotiate the cyber consensus. The results in the dissertation can be generically applied to the security of other end-use sectors and smart grids.
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