rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Querying over Encrypted Data in Smart Grids
  name:
    name part: Wen, Mi.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lu, Rongxing.
    role:
      role term: author.
  name:
    name part: Liang, Xiaohui.
    role:
      role term: author.
  name:
    name part: Lei, Jingsheng.
    role:
      role term: author.
  name:
    name part: Shen, Xuemin (Sherman).
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: IX, 78 p. 22 illus., 17 illus. in color. online resource.
  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.
  table of 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.
  note: by Mi Wen, Rongxing Lu, Xiaohui Liang, Jingsheng Lei, Xuemin (Sherman) Shen.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer security
  subject:
    topic: Data encryption (Computer science)
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Data Encryption
  subject:
    topic: Communications Engineering, Networks
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Systems and Data Security
  classification: QA76.9.A25
  classification: 005.82
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9783319063553
  identifier: http://dx.doi.org/10.1007/978-3-319-06355-3
  record info:
    record creation date: 140509
    record change date: 20151103121302.0
    record identifier: 978-3-319-06355-3