Reviewing the opportunities, challenges, and future directions for the digitalization of energy

S Baidya, V Potdar, PP Ray, C Nandi - Energy Research & Social Science, 2021 - Elsevier
Smart grids are the backbone of existing energy production and supply scenario in today's
society. Gradual increasing demand of energy has certainly emphasized the significance …

Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEE Access, 2022 - ieeexplore.ieee.org
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …

[PDF][PDF] Voting Classifier and Metaheuristic Optimization for Network Intrusion Detection.

DS Khafaga, FK Karim, AA Abdelhamid… - … , Materials & Continua, 2023 - academia.edu
Managing physical objects in the network's periphery is made possible by the Internet of
Things (IoT), revolutionizing human life. Open attacks and unauthorized access are possible …

E-graphsage: A graph neural network based intrusion detection system for iot

WW Lo, S Layeghy, M Sarhan… - NOMS 2022-2022 …, 2022 - ieeexplore.ieee.org
This paper presents a new Network Intrusion Detection System (NIDS) based on Graph
Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks …

Protocol-based deep intrusion detection for dos and ddos attacks using unsw-nb15 and bot-iot data-sets

M Zeeshan, Q Riaz, MA Bilal, MK Shahzad… - IEEE …, 2021 - ieeexplore.ieee.org
Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …

[HTML][HTML] Sentiment analysis of persian movie reviews using deep learning

K Dashtipour, M Gogate, A Adeel, H Larijani, A Hussain - Entropy, 2021 - mdpi.com
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

[HTML][HTML] Transport and application layer DDoS attacks detection to IoT devices by using machine learning and deep learning models

JG Almaraz-Rivera, JA Perez-Diaz… - Sensors, 2022 - mdpi.com
From smart homes to industrial environments, the IoT is an ally to easing daily activities,
where some of them are critical. More and more devices are connected to and through the …

A review of security and privacy concerns in the internet of things (IoT)

M Aqeel, F Ali, MW Iqbal, TA Rana, M Arif… - Journal of …, 2022 - Wiley Online Library
The recent two decades have witnessed tremendous growth in Internet of things (IoT)
applications. There are more than 50 billion devices connected globally. IoT applications' …

[HTML][HTML] Intelligent techniques for detecting network attacks: review and research directions

M Aljabri, SS Aljameel, RMA Mohammad, SH Almotiri… - Sensors, 2021 - mdpi.com
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …