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The Ecosystem of Connected RADIO Systems

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RADIO--Robots in Assisted Living

Abstract

Multiple RADIO home deployments, healthcare services providers, and medical researchers make up an ecosystem where different actors have different access rights to the data collected by RADIO monitoring. This chapter presents the two different access modes and technologies that support them: access controls to individual users’ data for the purposes of medical monitoring and privacy -aware aggregation for the purposes of medical research.

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References

  1. Clifton, C., Kantarcioglu, M., & Vaidya, J. (2002). Defining privacy for data mining. National Science Foundation Workshop on Next Generation Data Mining, 1(26).

    Google Scholar 

  2. Horvitz, E., & Mulligan, D. (2015). Data, privacy, and the greater good. Science, 349(6245), 253–255.

    Article  MathSciNet  Google Scholar 

  3. Ohm, P. (2009). Broken promises of privacy: Responding to the surprising failure of anonymization. UCLA Law Review, 57, 1701.

    Google Scholar 

  4. Kearns, M. (1998). Efficient noise-tolerant learning from statistical queries. Journal of the ACM (JACM), 45(6), 983–1006.

    Article  MathSciNet  Google Scholar 

  5. Kissner, L., & Song, D. (2005). Privacy-preserving set operations. In Annual International Cryptology Conference. Berlin: Springer.

    Google Scholar 

  6. Benaloh, J. C. (1986). Secret sharing homomorphisms: Keeping shares of a secret secret. In Conference on the Theory and Application of Cryptographic Techniques. Berlin: Springer.

    Google Scholar 

  7. Chu, C.-T., Kim, S. K., Lin, Y.-A., Yu, Y. Y., Bradski, G., Ng, A. Y., et al. (2007). Map-reduce for machine learning on multicore. Advances in Neural Information Processing Systems.

    Google Scholar 

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Correspondence to Angelos Charalambidis .

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Charalambidis, A., Mouchakis, G., Konstantopoulos, S. (2019). The Ecosystem of Connected RADIO Systems. In: Karkaletsis, V., Konstantopoulos, S., Voros, N., Annicchiarico, R., Dagioglou, M., Antonopoulos, C. (eds) RADIO--Robots in Assisted Living. Springer, Cham. https://doi.org/10.1007/978-3-319-92330-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-92330-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92329-1

  • Online ISBN: 978-3-319-92330-7

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