A holistic review of cybersecurity and reliability perspectives in smart airports

N Koroniotis, N Moustafa, F Schiliro… - IEEE …, 2020 - ieeexplore.ieee.org
Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence
of smart airports. Services and systems powered by the IoT enable smart airports to have …

Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …

M Imran, U Zaman, Imran, J Imtiaz, M Fayaz, J Gwak - Electronics, 2021 - mdpi.com
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

MA Rahman, AT Asyhari, LS Leong, GB Satrya… - Sustainable Cities and …, 2020 - Elsevier
Given a scale expansion of Internet of Things for sustainable resource management in smart
cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future …

A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges

Imran, Z Ghaffar, A Alshahrani, M Fayaz, AM Alghamdi… - Electronics, 2021 - mdpi.com
In recent years, rapid development has been made to the Internet of Things communication
technologies, infrastructure, and physical resources management. These developments and …

Electronic nose with digital gas sensors connected via bluetooth to a smartphone for air quality measurements

P Arroyo, F Meléndez, JI Suárez, JL Herrero… - Sensors, 2020 - mdpi.com
This paper introduces a miniaturized personal electronic nose (39 mm× 33 mm), which is
managed through an app developed on a smartphone. The electronic nose (e-nose) …

Effective combining of feature selection techniques for machine learning-enabled IoT intrusion detection

MA Rahman, AT Asyhari, OW Wen, H Ajra… - Multimedia Tools and …, 2021 - Springer
The rapid advancement of technologies has enabled businesses to carryout their activities
seamlessly and revolutionised communications across the globe. There is a significant …

A distributed storage and computation k-nearest neighbor algorithm based cloud-edge computing for cyber-physical-social systems

W Zhang, X Chen, Y Liu, Q Xi - Ieee Access, 2020 - ieeexplore.ieee.org
The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm.
It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data …

Towards design and development of security assessment framework for internet of medical things

FA Alzahrani, M Ahmad, MTJ Ansari - Applied Sciences, 2022 - mdpi.com
The majority of medical equipment in use today does not have built-in security features. As a
result, whether linked to a hospital system or the cloud, these devices' built-in weaknesses …

A software deep packet inspection system for network traffic analysis and anomaly detection

W Song, M Beshley, K Przystupa, H Beshley, O Kochan… - Sensors, 2020 - mdpi.com
In this paper, to solve the problem of detecting network anomalies, a method of forming a set
of informative features formalizing the normal and anomalous behavior of the system on the …

On general data protection regulation vulnerabilities and privacy issues, for wearable devices and fitness tracking applications

I Ioannidou, N Sklavos - Cryptography, 2021 - mdpi.com
Individual users' sensitive information, such as heart rate, calories burned, or even sleep
patterns, are casually tracked by smart wearable devices to be further processed or …