A Deep Learning Approach for Privacy Preservation in Assisted Living

Ismini Psychoula, Erinc Merdivan, Deepika Singh, Liming Chen, Feng Chen, Sten Hanke, Johannes Kropf, Andreas Holzinger, Matthieu Geist

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

8 Citations (Scopus)

Abstract

In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments. Systems that offer AAL technologies make extensive use of personal data in order to provide services that are context-aware and personalized. This makes privacy preservation a very important issue especially since the users are not always aware of the privacy risks they could face. A lot of progress has been made in the deep learning field, however, there has been lack of research on privacy preservation of sensitive personal data with the use of deep learning. In this paper we focus on a Long Short Term Memory (LSTM) Encoder-Decoder, which is a principal component of deep learning, and propose a new encoding technique that allows the creation of different AAL data views, depending on the access level of the end user and the information they require access to. The efficiency and effectiveness of the proposed method are demonstrated with experiments on a simulated AAL dataset. Qualitatively, we show that the proposed model learns privacy operations such as disclosure, deletion and generalization and can perform encoding and decoding of the data with almost perfect recovery.
Original languageEnglish
Title of host publication 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Place of PublicationAthens, Greece
PublisherIEEE Xplore
Pages710-715
Number of pages5
ISBN (Electronic)978-1-5386-3227-7
ISBN (Print)978-1-5386-3228-4
DOIs
Publication statusPublished - 19 Mar 2018
Event2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Athens
Duration: 19 Mar 201823 Mar 2018

Conference

Conference2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Period19/03/1823/03/18

Keywords

  • Privacy
  • Machine learning
  • Data privacy
  • Electronic mail
  • Decoding
  • Assisted Living

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