With the rapid development of low-cost consumer electronics and pervasive adoption of next generation wireless communication technologies, a tremendous amount of data has been …
T Wang, X Zhang, J Feng, X Yang - Sensors, 2020 - mdpi.com
Collecting and analyzing massive data generated from smart devices have become increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has led users to constantly generate various location data during their daily activities …
S Ghane, A Jolfaei, L Kulik… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Today's vehicles are advancing from stand-alone transportation means to vehicle-to-vehicle, and vehicle-to-infrastructure communications enabled devices which are able to exchange …
H Li, T Li, W Feng, J Zhang, J Zhang, L Gan… - Journal of Information …, 2021 - Elsevier
As a medium that can convey information vividly, the application of digital images is increasingly widespread. Under various application environments, researchers are …
A Montazerolghaem - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet of Multimedia Things (IoMT) is becoming attractive day by day and provides more services to the Internet users. The ever-increasing multimedia applications and services led …
Motivated by the security risks of deep neural networks, such as various membership and attribute inference attacks, differential privacy has emerged as a promising approach for …
T Murakami, Y Sei - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Local differential privacy (LDP) and its variants have been recently studied to analyze personal data collected from Internet of Things (IoT) devices while strongly protecting user …
Internet of Things (IoT) is playing a promising role in e-healthcare applications in the recent decades; nevertheless, security is one of the crucial challenges in the current field of study …