Anomaly detection for IoT time-series data: A survey
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 …
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
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 …
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
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 …
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
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 …
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …
Internet of things 2.0: Concepts, applications, and future directions
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 …
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 …
more sustainably. Digitalization presents a potential solution to overcome information …
Capsule network assisted IoT traffic classification mechanism for smart cities
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 …
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
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …
significantly to economic growth, while becoming epicentres of waste generation …
[PDF][PDF] An architecture of IoT-aware healthcare smart system by leveraging machine learning.
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 …
patients and Physicians remotely. Physicians interconnect with their patients to monitor their …
Innovative Machine Learning Techniques for Malware Detection
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 …
entering cyberspace and triggering millions of devices day by day. People could not restrain …