scholarly journals Effective Feature Extraction via Stacked Sparse Autoencoder to Improve Intrusion Detection System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 41238-41248 ◽  
Author(s):  
Binghao Yan ◽  
Guodong Han
Keyword(s):  
Feature Extraction ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Sparse Autoencoder ◽  
Stacked Sparse Autoencoder

scholarly journals Comparison of intrusion detection system based on feature extraction

2018 ◽  
Vol 7 (3.3) ◽  
pp. 536
Author(s):  
Pradeep Laxkar ◽  
Prasun Chakrabarti
Keyword(s):  
Feature Extraction ◽  
Big Data ◽  
Intrusion Detection ◽  
Network Traffic ◽  
Intrusion Detection System ◽  
Detection System ◽  
The Other ◽  
Traffic Classification ◽  
Redundant Feature ◽  
Network Traffic Classification

In network traffic classification redundant feature and irrelevant features in data create problems. All such types of features time-consuming make slow the process of classification and also affect a classifier to calculate accurate decisions such type of problem caused especially when we deal with big data. In this paper, we compare our proposed algorithm with the other IDS algorithm.  

scholarly journals An Effective Feature Extraction Mechanism for Intrusion Detection System

2021 ◽  
Vol E104.D (11) ◽  
pp. 1814-1827
Author(s):  
Cheng-Chung KUO ◽  
Ding-Kai TSENG ◽  
Chun-Wei TSAI ◽  
Chu-Sing YANG
Keyword(s):  
Feature Extraction ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Extraction Mechanism
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