A comprehensive survey on knowledge-defined networking

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Hybrid cache management in IoT-based named data networking

MA Naeem, TN Nguyen, R Ali, K Cengiz… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) and named data network (NDN) are innovative technologies to meet
up the future Internet requirements. NDN is considered as an enabling approach to …

[HTML][HTML] Image classification and prediction using transfer learning in colab notebook

JP Gujjar, HRP Kumar, NN Chiplunkar - Global Transitions Proceedings, 2021 - Elsevier
Transfer learning is used to reuse the pre-trained model. Transfer learning uses the
knowledge which was gained from the previous task. Transfer learning is most generally …

Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks

TG Nguyen, TV Phan, DT Hoang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …

RETRACTED ARTICLE: Artificial intelligence and machine learning for the green development of agriculture in the emerging manufacturing industry in the IoT platform

Y Zhou, Q Xia, Z Zhang, M Quan… - … Scandinavica, Section B …, 2022 - Taylor & Francis
In recent years, greenhouse development has been innovative in agriculture based on
information systems guidance with accelerated growth. The IoT provides an intelligent …

Lattice-based cryptosystems for the security of resource-constrained IoT devices in post-quantum world: a survey

K Seyhan, TN Nguyen, S Akleylek, K Cengiz - Cluster Computing, 2022 - Springer
The concept of the Internet of Things (IoT) arises due to the change in the characteristics and
numbers of smart devices. Communication of things makes it important to ensure security in …

[HTML][HTML] Exploratory analysis of credit card fraud detection using machine learning techniques

MJ Madhurya, HL Gururaj, BC Soundarya… - Global Transitions …, 2022 - Elsevier
In today's world, a lot of processes are carried over the Internet to make our lives easier. But,
on the other hand, many unauthorized and illegitimate activities that take place over it are …

Load-balance scheduling for intelligent sensors deployment in industrial internet of things

DK Sah, TN Nguyen, K Cengiz, B Dumba, V Kumar - Cluster Computing, 2022 - Springer
Abstract The Industrial Internet of Things uses intelligent sensors to collect the physical
properties of objects placed on a large area. It provides innovative service and network …

[HTML][HTML] MQTT based secure transport layer communication for mutual authentication in IoT network

V Shilpa, A Vidya, S Pattar - Global Transitions Proceedings, 2022 - Elsevier
Recent advancements in the communication protocols and the networking technologies
have enabled connectivity of a wide range of objects, resulting in the Internet of Things (IoT) …