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Titlebook: Enabling Secure and Privacy Preserving Communications in Smart Grids; Hongwei Li Book 2014 The Author(s) 2014 Bilinear pairing.Homomorphic

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發(fā)表于 2025-3-21 18:56:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Enabling Secure and Privacy Preserving Communications in Smart Grids
編輯Hongwei Li
視頻videohttp://file.papertrans.cn/310/309162/309162.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)SpringerBriefs in Computer Science
圖書(shū)封面Titlebook: Enabling Secure and Privacy Preserving Communications in Smart Grids; Hongwei Li Book 2014 The Author(s) 2014 Bilinear pairing.Homomorphic
描述This brief focuses on the current research on security and privacy preservation in smart grids. Along with a review of the existing works, this brief includes fundamental system models, possible frameworks, useful performance, and future research directions. It explores privacy preservation demand response with adaptive key evolution, secure and efficient Merkle tree based authentication, and fine-grained keywords comparison in the smart grid auction market. By examining the current and potential security and privacy threats, the author equips readers to understand the developing issues in smart grids. The brief is designed for researchers and professionals working with computer communication networks and smart grids. Graduate students interested in networks and communication engineering will also find the brief an essential resource.
出版日期Book 2014
關(guān)鍵詞Bilinear pairing; Homomorphic encryption; Identity-based signature; Merkle hash tree; Privacy-preservati
版次1
doihttps://doi.org/10.1007/978-3-319-04945-8
isbn_softcover978-3-319-04944-1
isbn_ebook978-3-319-04945-8Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Author(s) 2014
The information of publication is updating

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An Efficient Fine-Grained Keywords Comparison Scheme in the Smart Grid Auction Market,ere energy sellers publish their auction information, and then energy buyers bid for appropriate energy supplies. Thus, the energy auction market can adjust energy prices and provide strong support for the practical application of smart grids [5].
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