Cyber-security and reinforcement learning—a brief survey
AMK Adawadkar, N Kulkarni - Engineering Applications of Artificial …, 2022 - Elsevier
This paper presents a comprehensive literature review on Reinforcement Learning (RL)
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
techniques used in Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) …
A survey on how network simulators serve reinforcement learning in wireless networks
S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile
applications and services, resulted in unprecedented infrastructure requirements for mobile …
applications and services, resulted in unprecedented infrastructure requirements for mobile …
[HTML][HTML] XGB-RF: A hybrid machine learning approach for IoT intrusion detection
JA Faysal, ST Mostafa, JS Tamanna, KM Mumenin… - Telecom, 2022 - mdpi.com
In the past few years, Internet of Things (IoT) devices have evolved faster and the use of
these devices is exceedingly increasing to make our daily activities easier than ever …
these devices is exceedingly increasing to make our daily activities easier than ever …
[HTML][HTML] A hierarchical deep learning-based intrusion detection architecture for clustered internet of things
The Internet of Things (IoT) system's ever-expanding attack surface calls for a new intrusion
detection system (IDS). These systems may include thousands of wireless devices that need …
detection system (IDS). These systems may include thousands of wireless devices that need …
Multi-hop and mesh for LoRa networks: Recent advancements, issues, and recommended applications
A comprehensive review is presented on the latest approaches to solutions focusing on
multi-hop and mesh LoRa networks through the evaluation of simulations and real-world …
multi-hop and mesh LoRa networks through the evaluation of simulations and real-world …
Current testing and performance evaluation methodologies of LoRa and LoRaWAN in IoT applications: Classification, issues, and future directives
Abstract Long Range (LoRa) and Long Range Wide Area Network (LoRaWAN) are
emerging technologies essential in connecting and managing a wide range of devices in …
emerging technologies essential in connecting and managing a wide range of devices in …
[HTML][HTML] A Systematic Review of LPWAN and Short-Range Network using AI to Enhance Internet of Things
MH Widianto, A Sinaga, MA Ginting - Journal of Robotics and …, 2022 - journal.umy.ac.id
Artificial intelligence (AI) has recently been used frequently, especially concerning the
Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power …
Internet of Things (IoT). However, IoT devices cannot work alone, assisted by Low Power …
Network coding datagram protocol for TCP/IP networks
SS Vladimirov, A Vybornova, A Muthanna… - IEEE …, 2023 - ieeexplore.ieee.org
In this article, a new multicast protocol is introduced at the session layer, which is based on
network coding and is called the Network Coding Datagram Protocol (NCDP). The NCDP …
network coding and is called the Network Coding Datagram Protocol (NCDP). The NCDP …
[HTML][HTML] Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges
Internet of Things (IoT) devices are increasingly popular due to their wide array of
application domains. In IoT networks, sensor nodes are often connected in the form of a …
application domains. In IoT networks, sensor nodes are often connected in the form of a …
LoRaWAN Technology in Irrigation Channels in Batu Indonesia
Currently, agricultural technology or Farming development is increasingly sophisticated by
applying LoRaWAN-based IoT technology, ignoring quality agricultural products. LoRaWAN …
applying LoRaWAN-based IoT technology, ignoring quality agricultural products. LoRaWAN …