Data stream classification Detection System Using Genetic Algorithm

2011 ◽  
Vol 6 (1) ◽  
pp. 36-44
Author(s):  
S. Jeya ◽  
◽  
S. Muthu Perumal Pillai ◽  
2021 ◽  
pp. 319-328
Author(s):  
Amer Abdulmajeed Abdualrahman ◽  
Mahmood Khalel Ibrahem

Secure data communication across networks is always threatened with intrusion and abuse. Network Intrusion Detection System (IDS) is a valuable tool for in-depth defense of computer networks. Most research and applications in the field of intrusion detection systems was built based on analysing the several datasets that contain the attacks types using the classification of batch learning machine. The present study presents the intrusion detection system based on Data Stream Classification. Several data stream algorithms were applied on CICIDS2017 datasets which contain several new types of attacks. The results were evaluated to choose the best algorithm that satisfies high accuracy and low computation time.


2021 ◽  
Author(s):  
Ben Halstead ◽  
Yun Sing Koh ◽  
Patricia Riddle ◽  
Russel Pears ◽  
Mykola Pechenizkiy ◽  
...  

Author(s):  
Tiago Pinho da Silva ◽  
Gerson Antonio Urban ◽  
Priscilla De Abreu Lopes ◽  
Heloisa De Arruda Camargo

Author(s):  
Bhavani Thuraisingham ◽  
Mohammad Mehedy Masud ◽  
Pallabi Parveen ◽  
Latifur Khan

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