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Querying over encrypted data in smart grids

Author: Mi Wen
Publisher: Cham : Springer, 2014.
Series: SpringerBriefs in computer science
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This SpringerBrief presents the concept of the smart grid architecture and investigates the security issues of the smart grid and the existing encrypted data query techniques. Unique characteristics of smart grid impose distinguished challenges on this investigation, such as multidimensional attributes in metering data and finer grained query on each dimension. Three kinds of queries are introduced, namely, equality  Read more...
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Genre/Form: Electronic books
Ebook
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mi Wen
ISBN: 9783319063553 3319063553 3319063545 9783319063546
OCLC Number: 879668826
Description: 1 online resource (ix, 78 pages) : illustrations (some color).
Contents: Introduction --
Equality Query for Auction in Emerging Smart Grid Marketing --
Conjunctive Query over Encrypted Multidimensional Data --
Range Query over Encrypted Metering Data for Financial Audit --
Conclusions and Future Work.
Series Title: SpringerBriefs in computer science
Responsibility: Mi Wen, Rongxing Lu, Xiaohui Liang, Jingsheng Lei, Xuemin (Sherman) Shen.
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Abstract:

This SpringerBrief presents the concept of the smart grid architecture and investigates the security issues of the smart grid and the existing encrypted data query techniques. Unique characteristics of smart grid impose distinguished challenges on this investigation, such as multidimensional attributes in metering data and finer grained query on each dimension. Three kinds of queries are introduced, namely, equality query, conjunctive query and range query. For the equality query over encrypted metering data, an efficient searchable encryption scheme is introduced and can be applied for auction in emerging smart grid marketing. Later chapters examine the conjunctive query and range query over encrypted data. Different techniques are used, including the Public key Encryption with Keyword Search (PEKS) and Hidden Vector Encryption (HVE), to construct the comparison predicate and range query predicate. Their correctness is demonstrated in the book. Concise and practical, Encrypted Data Querying in Smart Grids is valuable for professionals and researchers involved in data privacy or encryption. It is also useful for graduate students interested in smart grid and related technologies.

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The booklet under review is a comprehensive study that investigates the problem of querying encrypted data in smart grids and focuses on preserving data and query privacy, a topic that is rarely Read more...

 
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