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Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis.pdf (1.32 MB)
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Privacy-Preserving Probabilistic Data Encoding for IoT Data Analysis

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posted on 2023-09-07, 16:36 authored by Zakia ZamanZakia Zaman, Wanli XueWanli Xue, Praveen Gauravaram, Wen Hu, Sanjay K. Jha

In this research, we have proposed a novel differentially private Bloom Filter data encoding technique, that enables the use of the Deep Learning Algorithm for downstream analysis. 

We have used public datasets to evaluate the proposed method.

Funding

Cyber Security Cooperative Research Centre (CSCRC) PhD scholarship

History

Email Address of Submitting Author

z.zaman@unsw.edu.au

ORCID of Submitting Author

0000-0001-5340-0815

Submitting Author's Institution

UNSW

Submitting Author's Country

  • Australia