Internet of things 2.0: Concepts, applications, and future directions

I Zhou, I Makhdoom, N Shariati, MA Raza… - IEEE …, 2021 - ieeexplore.ieee.org
Applications and technologies of the Internet of Things are in high demand with the increase
of network devices. With the development of technologies such as 5G, machine learning …

[HTML][HTML] Using data mining techniques to explore security issues in smart living environments in Twitter

JR Saura, D Palacios-Marqués… - Computer …, 2021 - Elsevier
In present-day in consumers' homes, there are millions of Internet-connected devices that
are known to jointly represent the Internet of Things (IoT). The development of the IoT …

A systematic review on Deep Learning approaches for IoT security

L Aversano, ML Bernardi, M Cimitile, R Pecori - Computer Science Review, 2021 - Elsevier
The constant spread of smart devices in many aspects of our daily life goes hand in hand
with the ever-increasing demand for appropriate mechanisms to ensure they are resistant …

Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey

S Zaman, K Alhazmi, MA Aseeri, MR Ahmed… - Ieee …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …

Federated intrusion detection in blockchain-based smart transportation systems

M Abdel-Basset, N Moustafa, H Hawash… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the integration of the Internet of Things (IoT) in the field of transportation, the Internet of
Vehicles (IoV) turned to be a vital method for designing Smart Transportation Systems (STS) …

Towards development of IoT-ML driven healthcare systems: A survey

NS Sworna, AKMM Islam, S Shatabda… - Journal of Network and …, 2021 - Elsevier
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …

Machine learning in network anomaly detection: A survey

S Wang, JF Balarezo, S Kandeepan… - IEEE …, 2021 - ieeexplore.ieee.org
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …

Machine learning for security in vehicular networks: A comprehensive survey

A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …

Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …

Security and privacy in IoT smart healthcare

SM Karunarathne, N Saxena… - IEEE Internet …, 2021 - ieeexplore.ieee.org
Patient care is a key element of healthcare practices. The use of Healthcare IoT could
enhance the lives of patients and the quality of services provided by medical practitioners …