Privacy Preserving Human Activity Recognition Using Microaggregated Generative Deep Learning

Ahmed Aleroud, Majd Shariah, Rami Malkawi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Internet of Things (IoT) allow data collection and sharing of many aspects of our daily life. With the huge amount of data transferred via IoT devices, privacy concerns need to be addressed while preserving the usefulness of the shared data. This research proposes a microaggregation-generative privacy preserving model for human activity recognition in IoT data. While generative deep neural networks have been used for data perturbation, data leakage and disclosing private information of the training sample is still an issue when applying the traditional deep learning generative models. We proposed a novel approach to perturb IoT data using Generative Adversarial Networks and Microaggregation while preserving the utility of its features. Our approach reduces the size of the original dataset by employing an entropy-preserving measure to discard noisy records after anonymization. The performance of the proposed approach was measured using several criteria such as classification accuracy, precision, recall, and F-score before and after anonymization. As a result, the proposed GAN-Microaggregation privacy preserving technique showed a remarkable performance in term of accuracy. Moreover, the privacy was measured, showing the benefits of the proposed approach to share IoT datasets with minimal privacy attacking surface.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 IEEE International Conference on Cyber Security and Resilience, CSR 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages357-363
Number of pages7
ISBN (Electronic)9781665499521
DOIs
StatePublished - 2022
Event2nd IEEE International Conference on Cyber Security and Resilience, CSR 2022 - Virtual, Online, Greece
Duration: Jul 27 2022Jul 29 2022

Publication series

NameProceedings of the 2022 IEEE International Conference on Cyber Security and Resilience, CSR 2022

Conference

Conference2nd IEEE International Conference on Cyber Security and Resilience, CSR 2022
Country/TerritoryGreece
CityVirtual, Online
Period7/27/227/29/22

Keywords

  • Generative Adversarial Networks (GAN)
  • Internet of Things (IoT)
  • data reduction
  • de-identification
  • human activity recognition
  • privacy-preserving data analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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