A survey of iot privacy security: Architecture, technology, challenges, and trends

P Sun, S Shen, Y Wan, Z Wu, Z Fang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is used in homes and hospitals and deployed outdoors to control
and report environmental changes, prevent fires, and perform many more beneficial …

[HTML][HTML] A Review of Big Data Trends and Challenges in Healthcare

L Baloch, SU Bazai, S Marjan, F Aftab… - International Journal …, 2023 - ijtech.eng.ui.ac.id
The healthcare sector produces an enormous amount of complicated data from several
sources, such as health monitoring systems, medical devices, and electronic health records …

Convergent grey wolf optimizer metaheuristics for scheduling crowdsourcing applications in mobile edge computing

Z Lian, J Shu, Y Zhang, J Sun - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Mobile crowdsourcing is a new computing paradigm that enables outsourcing computation
tasks to mobile crowd nodes by means of offloading the tasks from the user to a mobile edge …

P3S: Pertinent privacy-preserving scheme for remotely sensed environmental data in smart cities

F Algarni, MA Khan, W Alawad… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Sensing devices, high-performance networking, and privacy preservation algorithms have
important roles to play in remotely sensed environmental data in smart cities. The data …

efficient key generation on lattice cryptography for privacy protection in mobile IoT crowdsourcing

H Lu, Y Zhu, CE Chen, R Feng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face urgent concern of privacy leakage on mobile crowdsourcing, some lattice-based
cryptographic (LBC) schemes have been applied to the cloud-fog-edge data sharing …

Human-Collaborative Artificial Intelligence Along With Social Values in Industry 5.0: A Survey of the State-of-the-Art

M Khosravy, N Gupta, A Pasquali, N Dey… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
The expected fifth industrial revolution or Industry 5.0 (I-5.0) is human-centered and
concerns societal values, and sustainability. I-5.0 focuses on human and machine …

Systematic survey on artificial intelligence based mobile crowd sensing and sourcing solutions: Applications and security challenges

R Nasser, R Mizouni, S Singh, H Otrok - Ad Hoc Networks, 2024 - Elsevier
Abstract Mobile Crowd Sensing/Souring (MCS) is a novel sensing approach that leverages
the collective participation of users and their mobile devices to collect sensing data. As large …

Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review

W Chen, W Hussain, I Al-Qudah, G Al-Naymat… - Personal and Ubiquitous …, 2024 - Springer
During the past decade of the big data era, mobile crowdsourcing has emerged as a popular
research area, leveraging the collective intelligence and engagement of a vast number of …

ILPA: An Intelligent Location Preference Assignment Framework for MCS in Metaverse and Digital Twins Environments

Y Kang, A Liu, NN Xiong, S Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of metaverse and digital twins, consumer electronics, like
smartphones and wearable devices, are pivotal in merging the physical and digital realms …

Double Cloak Area Approach for Preserving privacy and Reliability of Crowdsourcing Data

NM Bahbouh, AB Alkhodre, S Sendra… - IEEE …, 2024 - ieeexplore.ieee.org
Crowdsourcing has emerged as a pivotal data source for diverse smart city applications,
ranging from health and traffic to security and safety. However, the integration of users' …