Edge-computing-driven internet of things: A survey

L Kong, J Tan, J Huang, G Chen, S Wang, X **… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

A survey on IoT security: application areas, security threats, and solution architectures

V Hassija, V Chamola, V Saxena, D Jain, P Goyal… - IEEe …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …

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 …

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 …

WiFi sensing with channel state information: A survey

Y Ma, G Zhou, S Wang - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

A survey of machine and deep learning methods for internet of things (IoT) security

MA Al-Garadi, A Mohamed, AK Al-Ali… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest develo** fields in …

A survey of deep learning methods for cyber security

DS Berman, AL Buczak, JS Chavis, CL Corbett - Information, 2019 - mdpi.com
This survey paper describes a literature review of deep learning (DL) methods for cyber
security applications. A short tutorial-style description of each DL method is provided …

IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?

L **ao, X Wan, X Lu, Y Zhang… - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
The Internet of things (IoT), which integrates a variety of devices into networks to provide
advanced and intelligent services, has to protect user privacy and address attacks such as …

Towards environment independent device free human activity recognition

W Jiang, C Miao, F Ma, S Yao, Y Wang… - Proceedings of the 24th …, 2018 - dl.acm.org
Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …