Employing a deep learning technique to categorize Internet of Things (IoT) traffic in a smart city context
SA Priya, BR Kanna, RB Jeyavathana… - 2023 International …, 2023 - ieeexplore.ieee.org
The exponential increase in quantity of cars on the roads of smart cities has led to traffic
jams, air contamination, and delays in the delivery of essential goods. Every day road …
jams, air contamination, and delays in the delivery of essential goods. Every day road …
Employing a Deep Learning Technique to Categorize Internet of Things (IoT) Traffic in a Smart City Context
C Mahesh, M Sumithra, MR Ranga… - 2023 Second …, 2023 - ieeexplore.ieee.org
The exponential increase in quantity of cars on the roads of smart cities has led to traffic
jams, air contamination, and delays in the delivery of essential goods. Every day road …
jams, air contamination, and delays in the delivery of essential goods. Every day road …
A Deep Learning Framework for IoT Lightweight Traffic Multi-classification: Smart-cities
LP Mudarakola… - … Journal of Sensors …, 2024 - ingentaconnect.com
Aims and Background: Increased traffic volume is a major challenge for effective network
management in the wake of the proliferation of mobile computing and the Internet of Things …
management in the wake of the proliferation of mobile computing and the Internet of Things …
IoT traffic multi-classification using network and statistical features in a smart environment
A Hameed, A Leivadeas - 2020 IEEE 25th international …, 2020 - ieeexplore.ieee.org
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …
the IoT access networks is considerably stressed. This can create significant performance …
IoT network traffic classification using machine learning algorithms: An experimental analysis
Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …
Internet, enabling them to transmit and share information in smart environments with each …
An unsupervised machine learning approach for iot device categorization
Internet of Things (IoT) along with the advances in the recently emerged Edge Computing
environment, have allowed the introduction of new and very diverse applications that can …
environment, have allowed the introduction of new and very diverse applications that can …
Transportation management using IoT: deep learning to predict various traffic states
A Singh - Deep Learning Technologies for the Sustainable …, 2023 - Springer
One of the largest issues in terms of road traffic, transportation costs, car parking, service
types, etc., is moving people and basic goods between locations. The transportation system …
types, etc., is moving people and basic goods between locations. The transportation system …
Classification of traffic and IOT devices through artificial neural network and feature selection
MRMS Mohamedsalm - 2022 - openaccess.altinbas.edu.tr
The configuration for allocating a circuit will have a large overhead. According to the packet
switching paradigm, communication is not connection-oriented, and data transmitted on the …
switching paradigm, communication is not connection-oriented, and data transmitted on the …
An efficient internet traffic classification system using deep learning for IoT
Internet of Things (IoT) defines a network of devices connected to the internet and sharing a
massive amount of data between each other and a central location. These IoT devices are …
massive amount of data between each other and a central location. These IoT devices are …
Machine Learning Algorithms for Binary and Multiclass Classification of IoT Network Traffic in Smart Cities
VS Kumar, D Sunehra - … on Artificial Intelligence For Internet of …, 2024 - ieeexplore.ieee.org
Internet of Things describes variety of embedded devices that are connected to the internet.
This network of devices are used to build smart environment for smart city applications and …
This network of devices are used to build smart environment for smart city applications and …