A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future

M Jafari, A Kavousi-Fard, T Chen, M Karimi - IEEE Access, 2023 - ieeexplore.ieee.org
With recent advances in information and communication technology (ICT), the bleeding
edge concept of digital twin (DT) has enticed the attention of many researchers to …

Experts and intelligent systems for smart homes' Transformation to Sustainable Smart Cities: A comprehensive review

NU Huda, I Ahmed, M Adnan, M Ali, F Naeem - Expert Systems with …, 2024 - Elsevier
In this constantly evolving landscape of urbanization, the relationship between technology
and automation, in regards to sustainability, holds immense significance. The intricate …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Comparative analysis of intrusion detection systems and machine learning-based model analysis through decision tree

Z Azam, MM Islam, MN Huda - IEEE Access, 2023 - ieeexplore.ieee.org
Cyber-attacks pose increasing challenges in precisely detecting intrusions, risking data
confidentiality, integrity, and availability. This review paper presents recent IDS taxonomy, a …

Review of artificial intelligence for enhancing intrusion detection in the internet of things

M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024 - Elsevier
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …

MTH-IDS: A multitiered hybrid intrusion detection system for internet of vehicles

L Yang, A Moubayed, A Shami - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Modern vehicles, including connected vehicles and autonomous vehicles, nowadays
involve many electronic control units connected through intravehicle networks (IVNs) to …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

MA Ferrag, L Maglaras, S Moschoyiannis… - Journal of Information …, 2020 - Elsevier
In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

Machine learning and deep learning approaches for cybersecurity: A review

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid evolution and growth of the internet through the last decades led to more concern
about cyber-attacks that are continuously increasing and changing. As a result, an effective …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …