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    Data Privacy for the Smart Grid

    Proposal review

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    Author(s)
    Herold, Rebecca
    Hertzog, Christine
    Language
    English
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    Abstract
    Privacy for the Smart Grid provides easy-to-understand guidance on data privacy issues and the implications for creating privacy risk management programs, along with privacy policies and practices required to ensure Smart Grid privacy. It addresses privacy in electric, natural gas, and water grids from two different perspectives of the topic, one from a Smart Grid expert and another from a privacy and information security expert. While considering privacy in the Smart Grid, the book also examines the data created by Smart Grid technologies and machine-to-machine applications.
    URI
    https://library.oapen.org/handle/20.500.12657/101483
    Keywords
    charging stations; energy; data privacy; usage; electric vehicles; energy regulation; meter; custodian; home area networks; home energy management systems; transactive; monetization; risks; privacy claims; technologies; appliances; privacy risks; demand; privacy-enhancing technologies; response; smart grid privacy; privacy policies; smart meter data; privacy risk management programs; transactive energy; Smart Phones; smart grid technologies; Smart Grid; HEMSs; Energy Usage Data
    DOI
    10.1201/b18005
    ISBN
    9781466573383, 9781000219487, 9781000219005, 9780367240394, 9780367377823, 9780429190209, 9781466573376, 9781466573383
    OCN
    902675850
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2015
    Imprint
    Auerbach Publications
    Classification
    Computer science
    Digital and information technologies: Legal aspects
    Computer security
    Network management
    Hospitality and service industries
    Pages
    250
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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