scholarly journals Machine Learning-Based Malicious User Detection in Energy Harvested Cognitive Radio-Internet of Things

2021 ◽  
Author(s):  
MD SIPON MIAH ◽  
Mohammad Amzad Hossain ◽  
Kazi Mowdud Ahmed ◽  
Md. Mahbubur Rahman ◽  
Ali Calhan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Radio ◽  
Internet Of Things ◽  
Simulation Data ◽  
Malicious User

Our simulation data is generated from energy vector using ED technique.

scholarly journals Machine Learning-Based Malicious User Detection in Energy Harvested Cognitive Radio-Internet of Things

2021 ◽  
Author(s):  
MD SIPON MIAH ◽  
Mohammad Amzad Hossain ◽  
Kazi Mowdud Ahmed ◽  
Md. Mahbubur Rahman ◽  
Ali Calhan ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cognitive Radio ◽  
Internet Of Things ◽  
Simulation Data ◽  
Malicious User

Our simulation data is generated from energy vector using ED technique.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Machine Learning Based Activity Learning for Behavioral Contexts in Internet of Things (IoT)

2020 ◽  
Vol 46 (8) ◽  
pp. 626-635
Author(s):  
Muhammad Safyan ◽  
Sohail Sarwar ◽  
Zia Ul Qayyum ◽  
Muddasar Iqbal ◽  
Shancang Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things
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