machine learning approach
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2022 ◽  
Vol 73 ◽  
pp. 103434
Author(s):  
Fatemeh Salehian Matikolaie ◽  
Yasmina Kheddache ◽  
Chakib Tadj

2022 ◽  
Vol 261-262 ◽  
pp. 106731
Author(s):  
Wenfeng Du ◽  
Yannan Zhao ◽  
Yingqi Wang ◽  
Hui Wang ◽  
Mijia Yang

2022 ◽  
Vol 11 (3) ◽  
pp. 1-11
Author(s):  
Sudhakar Sengan ◽  
Osamah Ibrahim Khalaf ◽  
Vidya Sagar P. ◽  
Dilip Kumar Sharma ◽  
Arokia Jesu Prabhu L. ◽  
...  

Existing methods use static path identifiers, making it easy for attackers to conduct DDoS flooding attacks. Create a system using Dynamic Secure aware Routing by Machine Learning (DAR-ML) to solve healthcare data. A DoS detection system by ML algorithm is proposed in this paper. First, to access the user to see the authorized process. Next, after the user registration, users can compare path information through correlation factors between nodes. Then, choose the device that will automatically activate and decrypt the data key. The DAR-ML is traced back to all healthcare data in the end module. In the next module, the users and admin can describe the results. These are the outcomes of using the network to make it easy. Through a time interval of 21.19% of data traffic, the findings demonstrate an attack detection accuracy of over 98.19%, with high precision and a probability of false alarm.


2022 ◽  
Vol 146 ◽  
pp. 105528
Author(s):  
Caroline Morais ◽  
Ka Lai Yung ◽  
Karl Johnson ◽  
Raphael Moura ◽  
Michael Beer ◽  
...  

2022 ◽  
Vol 52 ◽  
pp. 174-181
Author(s):  
Cédric Lood ◽  
Dimitri Boeckaerts ◽  
Michiel Stock ◽  
Bernard De Baets ◽  
Rob Lavigne ◽  
...  

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