Document Type

Post-Print

Publication Date

5-2022

Subjects

User-generated content -- Reliability, Social media -- Reliability, Application software -- Development -- Security measures, Mobile games -- Development -- Security measures, Information technology -- Management

Abstract

The violation of information privacy in Smart Grids can be a significant barrier to customers’ participation. Employing privacy protection models such as K-anonymity in a Smart Grid implementation adds desirable privacy guarantees. This work provides an approach to applying the Mondrian algorithm to ensure data within the system excludes Personally Identifiable Information. Results suggest that a dynamically generated generalization hierarchy minimizes information loss incurred by the anonymization process.

Rights

© 2022 Copyright held by the owner/author(s)

Description

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

Presented at the MobiSys ’22, June 25-July 1, 2022, Portland, OR, USA.

Persistent Identifier

https://archives.pdx.edu/ds/psu/37661

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