G. Acs and C. Castelluccia, A case study: Privacy preserving release of spatio-temporal density in paris, pp.1679-1688, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01060070

D. Anguita, A. Ghio, L. Oneto, X. Parra, and J. L. Reyes-ortiz, A Public Domain Dataset for Human Activity Recognition using Smartphones, ESANN, 2013.

D. Aranki and R. Bajcsy, Private Disclosure of Information in Health Tele-monitoring, 2015.

R. Assam, M. Hassani, and T. Seidl, Differential Private Trajectory Obfuscation, MOBIQUITOUS, pp.139-151, 2013.

E. Ayday and M. Humbert, Inference Attacks against Kin Genomic Privacy. S&P, vol.15, pp.29-37, 2017.

C. Benabdelkader, R. Cutler, and L. Davis, Stride and cadence as a biometric in automatic person identification and verification, pp.372-377, 2002.

S. D. Bersch, D. Azzi, R. Khusainov, I. E. Achumba, and J. Ries, Sensor data acquisition and processing parameters for human activity classification, Sensors, vol.14, pp.4239-4270, 2014.

A. Boutet, S. Ben-mokhtar, and V. Primault, Uniqueness Assessment of Human Mobility on Multi-Sensor Datasets, Research Report. LIRIS UMR CNRS, vol.5205, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01381986

A. Boutet, D. Frey, R. Guerraoui, A. Kermarrec, and R. Patra, HyRec: Leveraging Browsers for Scalable Recommenders, pp.85-96, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01080016

L. Breiman, Random forests, Machine learning, vol.45, pp.5-32, 2001.

P. Eckersley, How unique is your web browser, PETS'10, pp.1-18, 2010.

C. Frindel and D. Rousseau, How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication, HealthyIoT, pp.19-25, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02057258

P. Gard, L. Lalanne, A. Ambourg, D. Rousseau, F. Lesueur et al., A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait, pp.3-9, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02057262

O. Goldreich, Cryptography and Cryptographic Protocols, Distrib. Comput, vol.16, pp.177-199, 2003.

M. Gramaglia and M. Fiore, Hiding mobile traffic fingerprints with GLOVE, CoNEXT, vol.26, p.13, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01237032

B. Gregorutti, B. Michel, and P. Saint-pierre, Correlation and variable importance in random forests, Statistics and Computing, vol.27, pp.659-678, 2017.
URL : https://hal.archives-ouvertes.fr/hal-00879978

S. Guha, M. Jain, and V. N. Padmanabhan, Koi: A Location-Privacy Platform for Smartphone Apps, NSDI, pp.183-196

M. Haghi, K. Thurow, and R. Stoll, Wearable devices in medical internet of things: scientific research and commercially available devices, HIR, vol.23, pp.4-15, 2017.

J. Han, J. Pei, and M. Kamber, Data mining: concepts and techniques, 2011.

G. James, D. Witten, T. Hastie, and R. Tibshirani, An introduction to statistical learning, vol.112, 2013.

D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G. Celler, Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring, TITB, vol.10, issue.1, pp.156-167, 2006.

L. Lamberg, Confidentiality and privacy of electronic medical records, JAMA, vol.285, pp.3075-3076, 2001.

D. Manousakas, C. Mascolo, A. R. Beresford, D. Chan, and N. Sharma, Quantifying Privacy Loss of Human Mobility Graph Topology, PETS, vol.2018, pp.5-21, 2018.

R. Masood, B. Zi-hao-zhao, H. J. Asghar, and M. A. Kâafar, Touch and You're Trapp(ck)ed: Quantifying the Uniqueness of Touch Gestures for Tracking, PoPETs, vol.2018, pp.122-142, 2018.

J. Mehrang, I. Pietilä, and . Korhonen, An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial Accelerometer Wrist-Band, Sensors, vol.18, p.613, 2018.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion et al., Scikit-learn: Machine learning in Python, Journal of machine learning research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905

A. Petit, T. Cerqueus, S. Ben-mokhtar, L. Brunie, and H. Kosch, PEAS: Private, Efficient and Accurate Web Search, TrustCom, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01159179

I. M. Pires, N. M. Garcia, N. Pombo, and F. Flórez-revuelta, From data acquisition to data fusion: a comprehensive review and a roadmap for the identification of activities of daily living using mobile devices, Sensors, vol.16, p.184, 2016.

S. J. Preece, J. Y. Goulermas, L. Kenney, D. Howard, K. Meijer et al., Activity identification using bodymounted sensorsa review of classification techniques, Physiological measurement, vol.30, p.1, 2009.

J. L. Reyes-ortiz, Smartphone-based human activity recognition, 2015.

M. Rushanan, A. D. Rubin, D. F. Kune, and C. M. Swanson, SoK: Security and Privacy in Implantable Medical Devices and Body Area Networks, pp.524-539, 2014.

D. Scalvini, G. Baratti, M. Assoni, L. Zanardini, P. Comini et al., Information and communication technology in chronic diseases: a patients opportunity, 2014.

B. Seref and E. Bostanci, Opportunities, threats and future directions in big data for medical wearables, BDAW, vol.15, p.5, 2016.
DOI : 10.1145/3010089.3010100

S. Sprager and M. B. Juric, Inertial sensor-based gait recognition: a review, Sensors, vol.15, pp.22089-22127, 2015.
DOI : 10.3390/s150922089

URL : https://doi.org/10.3390/s150922089

Y. Tang and C. Ono, Detecting Activities of Daily Living from Low Frequency Power Consumption Data, MOBIQUITOUS, pp.38-46, 2016.
DOI : 10.1145/2994374.2994376

F. Tramèr, Z. Huang, J. Hubaux, and E. Ayday, Differential Privacy with Bounded Priors: Reconciling Utility and Privacy in Genome-Wide Association Studies, CCS, pp.1286-1297, 2015.

H. Watanabe, T. Terada, and M. Tsukamoto, Gesture Recognition Method Based on Ultrasound Propagation in Body, MOBIQUITOUS, pp.288-289, 2016.

D. Wood, N. Apthorpe, and N. Feamster, Cleartext Data Transmissions in Consumer IoT Medical Devices, IoT S&P, pp.7-12, 2017.
DOI : 10.1145/3139937.3139939

URL : http://arxiv.org/pdf/1803.10147

Z. Zhang, M. C. Cho, C. Wang, .. Ch, and C. Hsu,

S. Chen and . Shieh, IoT security: ongoing challenges and research opportunities, SOCA, pp.230-234, 2014.