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Research On Security And Privacy Protection Of V2G Network In Smart Grid

Posted on:2019-01-29Degree:DoctorType:Dissertation
Country:ChinaCandidate:G ChenFull Text:PDF
GTID:1362330620462596Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
Vehicle-to-Grid(V2G)network is an emerging network which can realize data and energy exchange between electric vehicles(EVs)and smart grid,and it is also an important part of smart grid applications.A large number of EVs can be used as distributed energy storage systems when they are connected to the grid,which can not only solve the problems of inadequate grid operation and low efficiency,but also alleviate fluctuations caused by renewable energy accessing to power grid.However,a large number of data related to user privacy will be involved when EV communicates with the grid in two-way communication,such as vehicle identity,battery status,charging location and transaction amount etc.If these data are compromised,the attacker can easily obtain the real identity,location,lifestyle and other sensitive information of the vehicle user,which leads to the threats of the smart grid systems.Therefore,it is imperative to implement effective measures to protect the privacy of V2 G networks.In order to solve the security and privacy problems in authentication protocols,data sharing and transmission of V2 G networks,the research of this thesis mainly focuses on the following aspects:(1)The dissertation proposes a lightweight privacy-preserving authentication and anonymous tracking scheme in V2 G networks.Specifically,in order to reduce the complexity of V2 G network authentication and computation overhead of the system,this scheme adopts the non-supersingular elliptic curve to construct a lightweight authentication protocol,which can collect the target EV's action trajectory without exposing its identity and provide system or related personnel with real-time,continuous tracking of the target vehicle by combining the vehicle sensing system(VSS)and pseudo-identity technology.Security analysis shows that the proposed scheme is effective and secure under the random oracle model,and can ensure the privacy and security of vehicles and V2 G networks.Compared with the current V2 G network authentication and tracking schemes,the proposed scheme can not only improve the authentication efficiency,but also enjoy the supreme strengthen in tracking the targeted EVs.(2)The dissertation proposes a data sharing scheme in V2 G networks based on membership access.In this scheme,the service information in the V2 G network is divided into multiple parts in term of membership levels and is encrypted by the control centre(CC)through different access policies(hierarchical access by users)based on the online/offline ciphertext policy attribute-based encryption mechanism.The service information can only be obtained when the EV has a set of attributes that satisfy the corresponding membership level of access policy.What's more,combined with fog computing,the heavy computational operations of encryption and decryption are performed by the fog devices in offline encryption phase and decryption phase,respectively.The security and performance analyses demonstrate that the proposed scheme not only protects data privacy,but also significantly saves the computational costs of CC and user.Therefore,the proposed scheme can avoid the waste of system resources when a large number of EVs access the network at the same time.(3)The dissertation proposes a fault-tolerant privacy data aggregation scheme for smart grid.This scheme applies the homomorphic Paillier cryptosystem technology combined with BLS signature to ensure the confidentiality and integrality of user' data.In addition,the scheme employs the threshold secret sharing technology to make multiple aggregation servers in the gateway work together and improve the robustness of the smart grid system.The proposed scheme can still operate normally even when some gateway servers are compromised or attacked by hackers.The security analysis and experimental results demonstrate the proposed scheme can protect the security of user data and resist various attacks launched by internal and external attackers,and user power consumption information will not be obtained even if the control center is compromised by the attacker.(4)The dissertation proposes a scheme for privacy protection of multi-level electricity consumption of forward-backward security.In this scheme,a smart grid model with a two-level gateway that is closer to reality is provided,achieving the aggregation of user data with different granularity(fine-grained and coarse-grained).In addition,this scheme uses the forward-secure signature with backward-secure detection(FSBD)technique to ensure the forward-backward secrecy of the signing keys,preventing the adversary from forging the message signature for personal gain.The analysis results demonstrate that the proposed scheme can not only protect the user privacy,but also facilitate the control center to flexibly control of the user's power consumption.Compared with the existing data aggregation schemes,the proposed scheme is more secure and efficient.Based on researches on the current V2 G network,smart grid security and privacy protection schemes,this paper has proposed several solutions in terms of security,functionality and performance overhead,respectively,which have important theoretical significance and practical value for promoting the deployment and application of V2 G networks.
Keywords/Search Tags:Smart grid, V2G networks, anonymous authentication, data aggregation, privacy protection
PDF Full Text Request
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