Using Gravitational Search Algorithm to Support Artificial Neural Network in Intrusion Detection System

2014 ◽  
Vol 4 (6) ◽  
Author(s):  
Amin Dastanpour
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Search Algorithm ◽  
Detection System ◽  
Gravitational Search Algorithm ◽  
Gravitational Search ◽  
Artificial Neural

RF MEMS for Reconfigurable Antenna Using Gravitational Search Optimization and Artificial Neural Network

2018 ◽  
Vol 27 (08) ◽  
pp. 1850132
Author(s):  
T. A. Balarajuswamy ◽  
R. Nakkeeran
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Rf Mems ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Beam Width ◽  
Optimization Method ◽  
Gravitational Search ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The projected method explains about the problems occurred in the combination of the MEMS switches and the complete scheme plan is resolved through choosing the finest devise limits for the plan. The devise limits, namely, length of beam, width of beam, torsion arm length, switch thickness, holes and gap were measured. At this point, the finest value of the devise limit is forecast by the aid of artificial neural network (ANN). Furthermore, the method contains the optimization method of Gravitational Search Algorithm (GSA) to optimize the input signal and so dropping the Mean Square Error (MSE). The complete scheme is executed in the operational platform of MATLAB and the outcomes were examined.

Research and Implementation of Intrusion Detection System Based on Artificial Neural Network

2010 ◽  
Vol 129-131 ◽  
pp. 1421-1425
Author(s):  
Xiao Cui Han
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Web Based ◽  
Artificial Neural

Through the research on intrusion detection and artificial neural network, this paper designs an intrusion detection system based on artificial neural network, in detail describes the theory and implementation of all modules, and then carries out test and analysis for it, the results show that it has great advantages in web-based intrusion detection.

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