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 …

Blockchain technology in healthcare: A comprehensive review and directions for future research

S Khezr, M Moniruzzaman, A Yassine, R Benlamri - Applied sciences, 2019 - mdpi.com
One of the most important discoveries and creative developments that is playing a vital role
in the professional world today is blockchain technology. Blockchain technology moves in …

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 …

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 …

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 …

An experimental analysis of attack classification using machine learning in IoT networks

A Churcher, R Ullah, J Ahmad, S Ur Rehman… - Sensors, 2021 - mdpi.com
In recent years, there has been a massive increase in the amount of Internet of Things (IoT)
devices as well as the data generated by such devices. The participating devices in IoT …

An integrated fire detection system using IoT and image processing technique for smart cities

A Sharma, PK Singh, Y Kumar - Sustainable Cities and Society, 2020 - Elsevier
In the current scenario, the concept of Smart Cities is one of the emerging and challenging
research areas. The cities are surrounded by forests, agricultural land, or open areas, where …

Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems

J Ashraf, AD Bakhshi, N Moustafa… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …

DL‐IDS: a deep learning–based intrusion detection framework for securing IoT

Y Otoum, D Liu, A Nayak - Transactions on Emerging …, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …

Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey

M Dibaei, X Zheng, Y Xia, X Xu, A Jolfaei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With recent developments in communication technologies, vehicular networks have become
a reality with various applications. However, the cybersecurity aspect of vehicular networks …