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Secure and Privacy-preserving Dynami...
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Pazos-Revilla, Marbin.
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Secure and Privacy-preserving Dynamic Charging and Coordination for Electric Vehicles and Home Batteries.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Secure and Privacy-preserving Dynamic Charging and Coordination for Electric Vehicles and Home Batteries./
作者:
Pazos-Revilla, Marbin.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
158 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Computer Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13426431
ISBN:
9781392160862
Secure and Privacy-preserving Dynamic Charging and Coordination for Electric Vehicles and Home Batteries.
Pazos-Revilla, Marbin.
Secure and Privacy-preserving Dynamic Charging and Coordination for Electric Vehicles and Home Batteries.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 158 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (Ph.D.)--Tennessee Technological University, 2019.
This item must not be sold to any third party vendors.
Electric Vehicles (EVs) are becoming increasingly prevalent in today's society as a mean to reduce dependency on fossil fuels, fuel costs, and environmental pollution. Moreover, home batteries are currently used to charge from the power grid when the electricity prices are low and power homes when the prices are high. Energy storage units (ESUs), including EVs and home batteries, can also promote the power generation from renewable energy resources by storing the excess power generated. However, communications are needed to manage the ESUs, which can cause security and privacy issues. In this thesis, we propose schemes addressing several of these issues. The first scheme proposes an efficient anonymous authentication scheme for dynamic charging system. In dynamic charging systems, EVs can charge while in motion from charging pads installed on roads, using wireless energy transfer. The proposed scheme uses lightweight cryptosystems coupled with a physical-layer technique to create an efficient hierarchical authentication scheme that can preserve the location privacy of drivers. The second problem addressed, is the secure and privacy-preserving charging coordination of ESUs. The uncoordinated charging of ESUs can create a peak load that cannot be handled by the power distribution system. The best way to avoid this problem is by charging coordination. The idea is that each ESU should send State of Charge (SoC) and Time to Complete Charge (TCC) to a charging coordinator that should run an algorithm to compute the charging schedules. However, SoC and TCC can reveal private information on the location of the EV owner and activities. In the proposed scheme, charging priorities are computed based on the SoC and TCC values, and a subset of the ESUs are selected to charge in one time slot, and the unselected ESUs can request charging in the next time slot. The objective is to maximize the number of charging requests that are served before they are expired. In this thesis, we propose two charging coordination schemes; centralized and decentralized. The centralized scheme can be used when there is a robust communication infrastructure that connects the ESUs to the utility, while the decentralized scheme is useful when such an infrastructure is not available or is costly. We secure the schemes against collusion attacks that aim to obtain/identify the SoC and TCC of certain ESUs. In addition, if an ESU does not charge in one timeslot, it needs to send a new request in the next timeslot, and by linking these requests, some information can be revealed such as whether an EV is at home. In this thesis, we first study and analyze this attack, and then propose two solutions based on noise addition and submitting multiple requests. We have extensively evaluated the performance of our schemes using simulations and practical implementations. We have also analyzed the security and the privacy provided by our schemes. Our results confirm that the proposed schemes are efficient and secure, and can preserve users' privacy.
ISBN: 9781392160862Subjects--Topical Terms:
1567821
Computer Engineering.
Secure and Privacy-preserving Dynamic Charging and Coordination for Electric Vehicles and Home Batteries.
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Electric Vehicles (EVs) are becoming increasingly prevalent in today's society as a mean to reduce dependency on fossil fuels, fuel costs, and environmental pollution. Moreover, home batteries are currently used to charge from the power grid when the electricity prices are low and power homes when the prices are high. Energy storage units (ESUs), including EVs and home batteries, can also promote the power generation from renewable energy resources by storing the excess power generated. However, communications are needed to manage the ESUs, which can cause security and privacy issues. In this thesis, we propose schemes addressing several of these issues. The first scheme proposes an efficient anonymous authentication scheme for dynamic charging system. In dynamic charging systems, EVs can charge while in motion from charging pads installed on roads, using wireless energy transfer. The proposed scheme uses lightweight cryptosystems coupled with a physical-layer technique to create an efficient hierarchical authentication scheme that can preserve the location privacy of drivers. The second problem addressed, is the secure and privacy-preserving charging coordination of ESUs. The uncoordinated charging of ESUs can create a peak load that cannot be handled by the power distribution system. The best way to avoid this problem is by charging coordination. The idea is that each ESU should send State of Charge (SoC) and Time to Complete Charge (TCC) to a charging coordinator that should run an algorithm to compute the charging schedules. However, SoC and TCC can reveal private information on the location of the EV owner and activities. In the proposed scheme, charging priorities are computed based on the SoC and TCC values, and a subset of the ESUs are selected to charge in one time slot, and the unselected ESUs can request charging in the next time slot. The objective is to maximize the number of charging requests that are served before they are expired. In this thesis, we propose two charging coordination schemes; centralized and decentralized. The centralized scheme can be used when there is a robust communication infrastructure that connects the ESUs to the utility, while the decentralized scheme is useful when such an infrastructure is not available or is costly. We secure the schemes against collusion attacks that aim to obtain/identify the SoC and TCC of certain ESUs. In addition, if an ESU does not charge in one timeslot, it needs to send a new request in the next timeslot, and by linking these requests, some information can be revealed such as whether an EV is at home. In this thesis, we first study and analyze this attack, and then propose two solutions based on noise addition and submitting multiple requests. We have extensively evaluated the performance of our schemes using simulations and practical implementations. We have also analyzed the security and the privacy provided by our schemes. Our results confirm that the proposed schemes are efficient and secure, and can preserve users' privacy.
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