HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Book sections

Using Differential Privacy for the Internet of Things

Abstract : In this paper we propose a hybrid privacy-protection model for the Internet of Things (IoT) with the ultimate purpose of balancing privacy restrictions and usability in data delivery services. Our model uses traditional de-identification methods (such as k-anonymity) under low-privacy requirements, but allows for the transmission of aggregate statistical results (calculated with a privacy-preserving method such as Differential Privacy) as an alternative if the privacy requirements exceed a threshold. We show a prototype implementation for this model, and present a small step-by-step example.
Document type :
Book sections
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Monday, November 6, 2017 - 10:11:44 AM
Last modification on : Wednesday, August 15, 2018 - 4:40:04 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Carlos Gómez Rodríguez, Elena Barrantes S.. Using Differential Privacy for the Internet of Things. Anja Lehmann; Diane Whitehouse; Simone Fischer-Hübner; Lothar Fritsch; Charles Raab. Privacy and Identity Management. Facing up to Next Steps : 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers, AICT-498, Springer International Publishing, pp.201-211, 2016, IFIP Advances in Information and Communication Technology, 978-3-319-55782-3. ⟨10.1007/978-3-319-55783-0_14⟩. ⟨hal-01629160⟩



Record views


Files downloads