Dynamic preamble grouping and access control scheme in machine-to-machine communication

X Zhao, C Wang, W Wang - 2019 11th International Conference …, 2019 - ieeexplore.ieee.org
In the Internet of Things (Io'T), machine-to-machine (M2M) communication involves a
significant number of machine type communication (MTC) devices to support the application …

IoT Güvenliği İçin Kullanılan Makine Öğrenimi ve Derin Öğrenme Modelleri Üzerine bir Derleme

H Satılmış, S Akleylek - Bilişim Teknolojileri Dergisi, 2021 - dergipark.org.tr
Nesnelerin internetini (internet of things-IoT) oluşturan cihazlar ve bu cihazları birbirine
bağlayan ağlar hızlı bir şekilde yaygınlaşmaktadır ve evrim geçirmektedir. Buna paralel …

Comparing and evaluating supervised and unsupervised machine learning techniques for IoT security

EM Boumait, A Habbani, R Mastouri… - AIP Conference …, 2023 - pubs.aip.org
The Internet of Things (IoT) technology expansion allows billions of globally distributed
physical items to capture, collect, exchange, and share massive amounts of data. These …

WGAN-Based Oversampling for QoS-Aware M2M Network Power Allocation

J Zhou, Y Tao - 2024 International Conference on Computing …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) in the new era of 5G and 6G. Pursuing an autonomous strategy for
optimal power allocation remains a significant research topic in M2M communication …

Learning automata based Q-learning RACH access scheme for cellular M2M communications

NA Shinkafi, LM Bello, DS Shu'aibu… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
This paper introduces a novel Learning Automata (LA) scheme to improve the performance
of a Q-learning based RACH access (QL-RACH) scheme, when applied for combined …

Distributive ACB Factor Estimation for Delay-Sensitive Applications in Non-Terrestrial Networks

C Zhang, X Sun, W Xia, R Huang… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
To meet the demanding need for global connectivity, non-terrestrial networks can provide
essential support to complement and extend the terrestrial infrastructure. However, the …

Embedding machine & deep learning for mitigating security & privacy issues in iot enabled devices & networks

A Lamba, S Singh, S Balvinder, N Dutta… - International Journal …, 2018 - papers.ssrn.com
Abstract 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 …

[图书][B] Proceedings of International Conference on Advanced Communications and Machine Intelligence: MICA 2022

R Buyya, S Misra, YW Leung, A Mondal - 2023 - Springer
This book presents high-quality, peer-reviewed papers from International Conference on
Advanced Communications and Machine Intelligence (MICA 2022), organised by M …

Comparative Analysis of Detection of Network Attacks Using Deep Learning Algorithms

S Singh, M Rajput, SB Bajaj, K Tripathi… - … Conference on Advanced …, 2022 - Springer
With the notable increase for utilization of the Internet technologies and application and fast
growing of Internet and network communication technologies also given the rise to attacks …

6 Machine Learning Techniques in IoT Applications: A State of

L Shaw, RN Sahoo, K Hemachandran… - … , Security Threats, and …, 2021 - books.google.com
The present innovation of Internet of Things (IoT) provides intelligent and innovative services
by being connected with numerous devices within network. The applications of IoTs have …