The internet of things security: A survey encompassing unexplored areas and new insights

AE Omolara, A Alabdulatif, OI Abiodun, M Alawida… - Computers & …, 2022 - Elsevier
The cosmic evolution of the Internet of things (IoTs) in par with its realization in all spheres of
life undertakings, mandates continuous research pursuits in IoT and its associated …

Federated learning in smart city sensing: Challenges and opportunities

JC Jiang, B Kantarci, S Oktug, T Soyata - Sensors, 2020 - mdpi.com
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …

Blockchain-based privacy-preserving and rewarding private data sharing for IoT

T Li, H Wang, D He, J Yu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) devices possessed by individuals produce massive amounts of
data. The private data onto specific IoT devices can be combined with intelligent platform to …

Reinforcement learning-based physical cross-layer security and privacy in 6G

X Lu, L Xiao, P Li, X Ji, C Xu, S Yu… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …

Fischer linear discrimination and quadratic discrimination analysis–based data mining technique for internet of things framework for Healthcare

MK Hasan, TM Ghazal, A Alkhalifah… - Frontiers in Public …, 2021 - frontiersin.org
The internet of reality or augmented reality has been considered a breakthrough and an
outstanding critical mutation with an emphasis on data mining leading to dismantling of …

A blockchain-based machine learning framework for edge services in IIoT

Y Tian, T Li, J Xiong, MZA Bhuiyan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge services provide an effective and superior means of real-time transmissions and rapid
processing of information in the Industrial Internet of Things (IIoT). However, the continuous …

TRAC: traceable and revocable access control scheme for mHealth in 5G-enabled IIoT

Q Li, B Xia, H Huang, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile healthcare (mHealth) enables people to collect and share their personal health
records (PHRs) and gain rapid medical treatment via mobile 5G-enabled Industrial Internet …

An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT

J Xiong, M Zhao, MZA Bhuiyan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The mobile crowdsensing (MCS) technology with a large number of Internet of Things (IoT)
devices provides an economic and efficient solution to participation in coordinated large …

Machine and deep learning for iot security and privacy: applications, challenges, and future directions

S Bharati, P Podder - Security and communication networks, 2022 - Wiley Online Library
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

An approach of flow compensation incentive based on Q-learning strategy for IoT user privacy protection

L Chen, D Zhang, J Zhang, T Zhang, J Du… - AEU-International Journal …, 2022 - Elsevier
In MCS (mobile crowd sensing), reducing network overhead, protecting IoT user privacy and
increasing the participation enthusiasm of perception task are key issues. The QLPPIA (an …