[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …
Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
Privacy-preserving and security in SDN-based IoT: A survey
In recent years, the use of Software Defined Networking (SDN) has increased due to various
network management requirements. Using SDN in computer network applications has …
network management requirements. Using SDN in computer network applications has …
Non-orthogonal multiple access enabled mobile edge computing in 6G communications: A systematic literature review
Mobile edge computing (MEC) supported by non-orthogonal multiple access (NOMA) has
recently gained a lot of interest due to its improved ability to lessen power consumption and …
recently gained a lot of interest due to its improved ability to lessen power consumption and …
A novel smartphone application for early detection of habanero disease
Habanero plant diseases can significantly reduce crop yield and quality, making early
detection and treatment crucial for farmers. In this study, we discuss the creation of a …
detection and treatment crucial for farmers. In this study, we discuss the creation of a …
A new imputation technique based a multi-Spike Neural Network to handle missing data in the Internet of Things Network (IoT)
Over the past decade, the Internet of Thing (IoT) devices have been deployed in wide-scale
several applications to collect vast amount of data from different locations in a time-series …
several applications to collect vast amount of data from different locations in a time-series …
An efficient fpga implementation of k-nearest neighbors via online arithmetic
S Gorgin, MH Gholamrezaei… - 2022 IEEE 30th …, 2022 - ieeexplore.ieee.org
k-NN, as one of the well-employed classification algorithms, severely suffers from a
computationally intensive nature. This paper exploits the parallelism and digit level …
computationally intensive nature. This paper exploits the parallelism and digit level …
Resource Allocation Based on Task Priority and Resource Consumption in Edge Computing
GA Araújo, SF da Costa Bezerra… - Journal of Internet …, 2024 - journals-sol.sbc.org.br
The computational power of Internet of Things (IoT) devices is usually low, which makes it
necessary to process data and extract relevant information on devices with higher …
necessary to process data and extract relevant information on devices with higher …
An Edge Intelligence Framework for Elegant Power Management in IoT-enabled Power Grids
IV Pustokhina, DA Pustokhin - Full Length Article, 2023 - americaspg.com
Abstract The Internet of Things (IoT) is a concept that has the potential to attract new
audiences in fields as diverse as manufacturing, healthcare, and more. IoT devices included …
audiences in fields as diverse as manufacturing, healthcare, and more. IoT devices included …
[PDF][PDF] A New Imputation Technique Based a Multi-Spike Neural Network to Handle Missing Data in the Internet of Things Network (IoT)
AR ZARZOOR, H LI - 2023 - researchgate.net
Over the past decade, the Internet of Thing (IoT) devices have been deployed in wide-scale
several applications to collect vast amount of data from different locations in a time-series …
several applications to collect vast amount of data from different locations in a time-series …