Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

CNN-RNN based intelligent recommendation for online medical pre-diagnosis support

X Zhou, Y Li, W Liang - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

Deep learning and big data technologies for IoT security

MA Amanullah, RAA Habeeb, FH Nasaruddin… - Computer …, 2020 - Elsevier
Technology has become inevitable in human life, especially the growth of Internet of Things
(IoT), which enables communication and interaction with various devices. However, IoT has …

Research on artificial intelligence enhancing internet of things security: A survey

H Wu, H Han, X Wang, S Sun - Ieee Access, 2020 - ieeexplore.ieee.org
Through three development routes of authentication, communication, and computing, the
Internet of Things (IoT) has become a variety of innovative integrated solutions for specific …

From cloud down to things: An overview of machine learning in internet of things

F Samie, L Bauer, J Henkel - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

A systematic review on Deep Learning approaches for IoT security

L Aversano, ML Bernardi, M Cimitile, R Pecori - Computer Science Review, 2021 - Elsevier
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

IoT vulnerability assessment for sustainable computing: threats, current solutions, and open challenges

P Anand, Y Singh, A Selwal, M Alazab, S Tanwar… - IEEE …, 2020 - ieeexplore.ieee.org
Over the last few decades, sustainable computing has been widely used in areas like social
computing, artificial intelligence-based agent systems, mobile computing, and Internet of …

A systematic content review of artificial intelligence and the internet of things applications in smart home

S Sepasgozar, R Karimi, L Farahzadi, F Moezzi… - Applied Sciences, 2020 - mdpi.com
This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology
applied in homes for making them smart, automated, and digitalized in many respects. The …