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    An efficient privacy-preserving algorithm based on randomized response in IoT-based smart grid

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    Name:
    1804.02781v1.pdf
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    Genre
    Pre-print
    Date
    2018-12-04
    Author
    Cao, H
    Liu, S
    Guan, Z
    Wu, L
    Deng, H
    Du, X
    Subject
    Differential Privacy
    Randomized Response
    Sparse Coding
    IoT
    Smart Grid
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/4613
    
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    DOI
    10.1109/SmartWorld.2018.00160
    Abstract
    © 2018 IEEE. In this paper, we propose a new randomized response algorithm that can achieve differential-privacy and utility guarantees for consumer's behaviors, and process a batch of data at each time. Firstly, differing from traditional differential private approach-es, we add randomized response noise into the behavior signa-tures matrix to achieve an acceptable utility-privacy tradeoff. Secondly, a behavior signature modeling method based on sparse coding is proposed. After some lightweight trainings us-ing the energy consumption data, the dictionary will be associat-ed with the behavior characteristics of the electric appliances. At last, through the experimental results verification, we find that our Algorithm can preserve consumer's privacy without comprising utility.
    Citation to related work
    IEEE
    Has part
    Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018
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    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/4595
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