Integrating sensor ontologies with global and local alignment extractions

X Xue, X Wu, C Jiang, G Mao… - … and Mobile Computing, 2021 - Wiley Online Library
In order to enhance the communication between sensor networks in the Internet of things
(IoT), it is indispensable to establish the semantic connections between sensor ontologies in …

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

A deep learning approach for IoT traffic multi-classification in a smart-city scenario

A Hameed, J Violos, A Leivadeas - IEEe Access, 2022 - ieeexplore.ieee.org
As the number of Internet of Things (IoT) devices and applications increases, the capacity of
the IoT access networks is considerably stressed. This can create significant performance …

[PDF][PDF] Machine Learning Approaches to Detect DoS and Their Effect on WSNs Lifetime.

R Wazirali, R Ahmad - Computers, Materials & Continua, 2022 - academia.edu
Energy and security remain the main two challenges in Wireless Sensor Networks (WSNs).
Therefore, protecting these WSN networks from Denial of Service (DoS) and Distributed DoS …

A few-shot learning based approach to IoT traffic classification

Z Zhao, Y Lai, Y Wang, W Jia… - IEEE Communications …, 2021 - ieeexplore.ieee.org
IoT traffic classification is an important step in network management. Efficient and accurate
IoT traffic classification helps Internet Service Providers provide high-quality services to …

A machine learning regression approach for throughput estimation in an IoT environment

A Hameed, J Violos, N Santi… - … on Internet of Things …, 2021 - ieeexplore.ieee.org
The success of Internet of Things (IoT) has significantly increased the volume of data
generated by various smart applications. However, as many of these applications are …

IoT‐IE: An Information‐Entropy‐Based Approach to Traffic Anomaly Detection in Internet of Things

Y Sun, J Yu, J Tian, Z Chen, W Wang… - Security and …, 2021 - Wiley Online Library
Security issues related to the Internet of Things (IoTs) have attracted much attention in many
fields in recent years. One important problem in IoT security is to recognize the type of IoT …

An unsupervised machine learning approach for iot device categorization

F Sawadogo, J Violos, A Hameed… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) along with the advances in the recently emerged Edge Computing
environment, have allowed the introduction of new and very diverse applications that can …

Accurate IoT Device Identification based on A Few Network Traffic

S Zhang, K Xiao, J Yu, X Liu… - 2023 IEEE/ACM 31st …, 2023 - ieeexplore.ieee.org
The number of devices connected to the Internet has been exploding in recent years, and
the wide range of device types poses a serious challenge for asset management and …

Machine learning challenges for IOT device fingerprints identification

VA Ferman, MA Tawfeeq - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The dramatic growth of Internet of Things (IoT) devices in recent years increases the IoT
networks' vulnerabilities and introduces new challenges among machine learning (ML) …