Intrusiveness and data protection in IoT solutions for smart homes

I Maiorescu, L Gabudeanu, AL Vîlcea, GC Sabou… - Amfiteatru …, 2021 - ceeol.com
The use of Internet of Things devices (IoT) by individuals in their homes has led to new
opportunities for companies, to adapt their products, services and offers, based on the user …

An exploratory data analysis of the network behavior of hive home devices

A Wali, O Apejoye, J He, X Ma - 2021 8th International …, 2021 - ieeexplore.ieee.org
Smart homes are gaining more popularity by the day due to the ease they provide in terms of
running our homes. However, the energy and resource constrained nature of the smart …

Machine learning for fog computing-based iot networks in smart city environment

S Ghosh, V Chandra, A Adhya - Intelligent Internet of Things for Healthcare …, 2021 - Springer
Though the definition of smart city may not be very crystallized till date, rather leaving many
opportunities for further debates and discussions, the smart city typically refers to digital and …

ML for IEEE 802.15. 4e/TSCH: Energy Efficient Approach to Detect DDoS Attack Using Machine Learning

P Bhale, S Biswas, S Nandi - 2021 International Wireless …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is a way to communicate with the real world without much human
involvement. It is booming in today's computing world, with billions of devices having …

Role of Machine Learning Approaches in Remaining Useful Prediction: A Review

K Sekar, SA Shah, A Antony Athithan… - Intelligent Computing and …, 2021 - Springer
The remaining useful life prediction is the length of time a machine likely to operate before it
requires a specific maintenance action. The RUL prediction on any component paves the …

A type-2 fuzzy logic based explainable AI approach for the easy calibration of AI models in IoT environments

J Rožman, H Hagras, J Andreu-Perez… - … on Fuzzy Systems …, 2021 - ieeexplore.ieee.org
Internet of things is projected to make its way into all spheres of human life in the near future.
This has been compounded with the growing demand for contactless solutions in the wake …

[PDF][PDF] A study of identifying attacks on industry internet of things using machine learning

CM Chen, ZX Cai, GH Lai - Computer Science Information Technology …, 2021 - csitcp.com
ABSTRACT The “Industry 4.0” revolution and Industry Internet of Things (IIoT) has
dramatically transformed how manufacturing and industrial companies operate. Industrial …

Internet of things (IoTs) security: Intrusion detection using deep learning

OK Sahingoz, U Cekmez… - Journal of Web …, 2021 - ieeexplore.ieee.org
With the development of sensor and communication technologies, the use of connected
devices in industrial applications has been common for a long time. Reduction of costs …

Arquitetura base para soluções de Internet das Coisas: aplicações de telemetria e computação na ponta com uso de Microsoft Azure nos modelos de IaaS, PaaS e …

JAS Maia - 2021 - realp.unb.br
A Internet das Coisas, embora seja um termo relativamente novo e com um entendimento
muitas vezes difuso, surge no mercado de tecnologia como um agregador de novas …

Towards effectively feature graph-based IoT botnet detection via reinforcement learning

QD Ngo, HT Nguyen… - Journal of Intelligent & …, 2021 - content.iospress.com
Over the last decade, due to exponential growth in IoT devices and weak security
mechanisms, the IoT is now facing more security challenges than ever before, especially …