Using Machine Learning to Detect DoS Attacks in Wireless Sensor Networks

2019 ◽  
Author(s):  
Abdulaziz I. Al-issa ◽  
Mousa Al-Akhras ◽  
Mohammed S. ALsahli ◽  
Mohammed Alawairdhi
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Dos Attacks

Machine Learning Based Detection and a Novel EC-BRTT Algorithm Based Prevention of DoS Attacks in Wireless Sensor Networks

2021 ◽  
Author(s):  
K. Lakshmi Narayanan ◽  
R. Santhana Krishnan ◽  
E. Golden Julie ◽  
Y. Harold Robinson ◽  
Vimal Shanmuganathan
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Dos Attacks

scholarly journals Overview of DOS attacks on wireless sensor networks and experimental results for simulation of interference attacks

2018 ◽  
Vol 38 (1) ◽  
pp. 130-138 ◽  
Author(s):  
Željko Gavrić ◽  
Dejan Simić
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Denial Of Service ◽  
Wireless Sensor ◽  
Dos Attacks ◽  
Security Issue ◽  
Simulation Scenario ◽  
Simulation Results ◽  
Potential Methods

Wireless sensor networks are now used in various fields. The information transmitted in the wireless sensor networks is very sensitive, so the security issue is very important. DOS (denial of service) attacks are a fundamental threat to the functioning of wireless sensor networks. This paper describes some of the most common DOS attacks and potential methods of protection against them. The case study shows one of the most frequent attacks on wireless sensor networks – the interference attack. In the introduction of this paper authors assume that the attack interference can cause significant obstruction of wireless sensor networks. This assumption has been proved in the case study through simulation scenario and simulation results.

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