Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …
stage for future technology where industrial use cases like smart cities and smart houses will …
[HTML][HTML] Security in product lifecycle of IoT devices: A survey
Abstract The Internet of Things (IoT) paradigm is considerably impacted by security
challenges, which has lately demanded substantial consideration. Accordingly, certain …
challenges, which has lately demanded substantial consideration. Accordingly, certain …
An empirical study on system level aspects of Internet of Things (IoT)
Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and
Communication technologies. The purpose of the IoT is to provide seamless services to …
Communication technologies. The purpose of the IoT is to provide seamless services to …
The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review
Gait, balance, and coordination are important in the development of chronic disease, but the
ability to accurately assess these in the daily lives of patients may be limited by traditional …
ability to accurately assess these in the daily lives of patients may be limited by traditional …
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …
users rely on mobile applications to monitor their physical activity through their smartphones …
[PDF][PDF] Improving the ambient intelligence living using deep learning classifier
YY Ghadi, B Mouazma, M Gochoo… - Comput. Mater …, 2022 - cdn.techscience.cn
Over the last decade, there is a surge of attention in establishing ambient assisted living
(AAL) solutions to assist individuals live independently. With a social and economic …
(AAL) solutions to assist individuals live independently. With a social and economic …
Behavior privacy preserving in RF sensing
Recent years have witnessed the booming development of RF sensing, which supports both
identity authentication and behavior recognition by analysing the signal distortion caused by …
identity authentication and behavior recognition by analysing the signal distortion caused by …
[PDF][PDF] Privacy-protecting techniques for behavioral data: A survey
∗ Funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …
as part of Germany's Excellence Strategy–EXC 2050/1–Project ID 390696704–Cluster of …
A false sense of privacy: Towards a reliable evaluation methodology for the anonymization of biometric data
Biometric data contains distinctive human traits such as facial features or gait patterns. The
use of biometric data permits an individuation so exact that the data is utilized effectively in …
use of biometric data permits an individuation so exact that the data is utilized effectively in …
PGAN framework for synthesizing sensor data privately
S Menasria, M Lu, A Dahou - Journal of Information Security and …, 2022 - Elsevier
Some credible third parties collect and share mobile sensor data with users to enhance
scientific innovation. However, since the sensor data contains sensitive attributes, it may …
scientific innovation. However, since the sensor data contains sensitive attributes, it may …