Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …
the new ones on the way of advanced digitalization enable delivering enhanced, value …
The long road to computational location privacy: A survey
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …
the usage of mobile applications, among which many use location to provide geolocated …
EDEN: Enforcing location privacy through re-identification risk assessment: A federated learning approach
B Khalfoun, S Ben Mokhtar, S Bouchenak… - Proceedings of the ACM …, 2021 - dl.acm.org
Crowd sensing applications have demonstrated their usefulness in many real-life scenarios
(eg, air quality monitoring, traffic and noise monitoring). Preserving the privacy of crowd …
(eg, air quality monitoring, traffic and noise monitoring). Preserving the privacy of crowd …
Data analytics during pandemics: a transportation and location planning perspective
The recent COVID-19 pandemic once again showed the value of harnessing reliable and
timely data in fighting the disease. Obtained from multiple sources via different collection …
timely data in fighting the disease. Obtained from multiple sources via different collection …
Semantic and trade-off aware location privacy protection in road networks via improved multi-objective particle swarm optimization
C Tian, H Xu, T Lu, R Jiang, Y Kuang - IEEE Access, 2021 - ieeexplore.ieee.org
Location privacy protection is an essential but challenging topic in the field of network
security. Although the existing research methods, such as k-anonymity, mix zone, and …
security. Although the existing research methods, such as k-anonymity, mix zone, and …
Empowering mobile crowdsourcing apps with user privacy control
Mobile crowdsourcing is being increasingly used by industrial and research communities to
build realistic datasets. By leveraging the capabilities of mobile devices, mobile …
build realistic datasets. By leveraging the capabilities of mobile devices, mobile …
Where you go is who you are: a study on machine learning based semantic privacy attacks
Concerns about data privacy are omnipresent, given the increasing usage of digital
applications and their underlying business model that includes selling user data. Location …
applications and their underlying business model that includes selling user data. Location …
Hmc: Robust privacy protection of mobility data against multiple re-identification attacks
M Maouche, S Ben Mokhtar, S Bouchenak - Proceedings of the ACM on …, 2018 - dl.acm.org
With the wide propagation of handheld devices, more and more mobile sensors are being
used by end users on a daily basis. Those sensors could be leveraged to gather useful …
used by end users on a daily basis. Those sensors could be leveraged to gather useful …
Transrisk: Mobility privacy risk prediction based on transferred knowledge
Human mobility data may lead to privacy concerns because a resident can be re-identified
from these data by malicious attacks even with anonymized user IDs. For an urban service …
from these data by malicious attacks even with anonymized user IDs. For an urban service …
Greenroute: a generalizable fuel-saving vehicular navigation service
This paper presents GreenRoute, a fuel-saving vehicular navigation system whose
contribution is motivated by one of the key challenges in the design of autonomic services …
contribution is motivated by one of the key challenges in the design of autonomic services …