Anomaly detection for IoT time-series data: A survey

AA Cook, G Mısırlı, Z Fan - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay… - Internet of Things, 2019 - Elsevier
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …

CorrAUC: a malicious bot-IoT traffic detection method in IoT network using machine-learning techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

IoT malicious traffic identification using wrapper-based feature selection mechanisms

M Shafiq, Z Tian, AK Bashir, X Du, M Guizani - Computers & Security, 2020 - Elsevier
Abstract Machine Learning (ML) plays very significant role in the Internet of Things (IoT)
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …

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 …

How China's digital technology development affects the environmental costs related to global value chains? Evidence from regional manufacturing sectors

T Zhang, L Wei, J Liu - Science of the Total Environment, 2023 - Elsevier
China needs to address the environmental costs to participate in global value chains (GVCs)
more sustainably. Digitalization presents a potential solution to overcome information …

Capsule network assisted IoT traffic classification mechanism for smart cities

H Yao, P Gao, J Wang, P Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
With rapid development of compelling application scenarios of the Internet of Things (IoT),
such as smart cities, it becomes substantially important to strengthen the management of …

MachIne learning for nutrient recovery in the smart city circular economy–A review

A Soo, L Wang, C Wang, HK Shon - Process Safety and Environmental …, 2023 - Elsevier
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

[PDF][PDF] An architecture of IoT-aware healthcare smart system by leveraging machine learning.

H Aldabbas, D Albashish, K Khatatneh… - Int. Arab J. Inf …, 2022 - researchgate.net
In a healthcare environment, Internet of Things (IoT) sensors' devices are integrated to help
patients and Physicians remotely. Physicians interconnect with their patients to monitor their …

Innovative Machine Learning Techniques for Malware Detection

A Ijaz, AA Khan, M Arslan, A Tanzil, A Javed… - Journal of Computing & …, 2024 - jcbi.org
Malware hazards are becoming more perplexing with time, new types of malware are
entering cyberspace and triggering millions of devices day by day. People could not restrain …