Freeway Accident Detection Model Based on Support Vector Machine

ICTE 2011 ◽  
2011 ◽  
Author(s):  
Bin Chen ◽  
Cao He ◽  
Jianbo Wang
Keyword(s):  
Support Vector Machine ◽  
Support Vector ◽  
Detection Model ◽  
Model Based ◽  
Accident Detection

Network Intrusion Detection Model Based on Genetic Algorithm Optimizing Parameters of Support Vector Machine

2014 ◽  
Vol 989-994 ◽  
pp. 2012-2015
Author(s):  
Chun Liu
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Machine ◽  
Intrusion Detection ◽  
Computer Security ◽  
Network Intrusion Detection ◽  
Support Vector ◽  
Detection Model ◽  
Model Based ◽  
Network Intrusion ◽  
Parameters Selection

Intrusion detection is an emerging area of research in the computer security and networks with the growing usage of internet in everyday life. Parameters selection of support vector machine is a important problems in network intrusion detection. In order to improve network intrusion detection precision, this paper proposed a network intrusion detection model based on parameters of support vector machine (SVM) by genetic algorithm. The performance of the model was tested by KDD Cup 99 data. Compared with other network intrusion detection models, the proposed model has significantly improved the detection precision of network intrusion.

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