Agent-Based Network Intrusion Detection System Using Data Mining Approaches

2005 ◽  
Author(s):  
Cheung-Leung Lui ◽  
Tak-Chung Fu ◽  
Ting-Yee Cheung
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Agent Based ◽  
Network Intrusion ◽  
Network Intrusion Detection System ◽  
Using Data

scholarly journals Intrusion Detection System from External Threats using Data Mining

2019 ◽  
Vol 9 (2) ◽  
pp. 2069-2072
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Assessment Procedure ◽  
External Threats ◽  
Network Intrusion ◽  
Using Data ◽  
Alarm Message

Network Intrusion Detection is a significant apparatus to distinguish and examine security dangers to a correspondence arrange. It supplements other system security procedures, for example, firewalls, by giving data about the recurrence and nature of assaults. A system interruption discovery framework (NIDS) frequently comprises of a sensor that examines each bundle on the system under perception, and advances the parcels which are considered fascinating, together with an alarm message to a backend framework, that stores them for further examination and relationship with different occasions. The assessment procedure of the MAC address contrasted with the CADL is improved and streamlined with the help of the J48 choice tree calculation. The pursuit procedure is completed in the created arrangement esteem through tree based characterization.

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