scholarly journals Agent Based Fault Detection System for Chemical Processes using Negative Selection Algorithm

2018 ◽  
Vol 3 (2) ◽  
pp. 90-98 ◽  
Author(s):  
Naoki Kimura ◽  
Yuya Takeda ◽  
Yoshifumi Tsuge
Keyword(s):  
Fault Detection ◽  
Negative Selection ◽  
Detection System ◽  
Chemical Processes ◽  
Selection Algorithm ◽  
Agent Based ◽  
Negative Selection Algorithm

Layered and Real-Valued Negative Selection Algorithm for Fault Detection

2018 ◽  
Vol 12 (3) ◽  
pp. 2960-2969 ◽  
Author(s):  
Anam Abid ◽  
Muhammad Tahir Khan ◽  
Clarence W. de Silva
Keyword(s):  
Fault Detection ◽  
Negative Selection ◽  
Selection Algorithm ◽  
Negative Selection Algorithm

A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System

2014 ◽  
Vol 8 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Chikh Ramdane ◽  
Salim Chikhi
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Negative Selection ◽  
Detection System ◽  
Selection Algorithm ◽  
High Detection Rate ◽  
Negative Selection Algorithm ◽  
Detection Systems ◽  
Network Intrusion ◽  
System Adaptation

Negative Selection Algorithm (NSA) is one of the widely used techniques for Intrusion Detection Systems (IDS) designing. In this paper, the proposed is an IDS based on a new model of NSA namely HNSA-IDSA (Hybrid NSA for Intrusion Detection System Adaptation). The proposed system can detect unknown attacks; moreover can be adapted automatically when new profiles' changes of the system are detected. To determine the efficiency of the proposed approach, the standard KDD99 dataset was used for performing experiments. The obtained results show that the authors' mechanism outperforms some literature techniques providing variant important properties as high detection rate, low false positive, adaptability and new attacks detection.

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