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  1. Yangon Technological University
  2. Department of Computer Engineering and Information Technology

Intrusion Detection System (IDS) for Alerting and Classifying Network Attacks

http://hdl.handle.net/20.500.12678/0000005529
d27bdd04-97b0-4065-9fd9-3d474753c61c
99585b9b-7985-4889-b3b2-b3cdb5f11f75
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YTU YTU Journal 2015.pdf (679 Kb)
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Publication type Journal article
Upload type Publication
Title
Intrusion Detection System (IDS) for Alerting and Classifying Network Attacks
en
Publication date 2015-10-15
Authors
La Wunn Yee
Thanda Win
Htway Htway Hlaing
Description
Intrusion Detection System (IDS) is a useful defense technique against network
attacks as well host attacks because they can help network/host administrator to detect
any security violations by showing alerts. Although IDSs can produce thousands of alerts
per day for network security, most of them are false positives. The abundance of false
positive alerts can be weak for administrator to find successful attacks and give action on
them. The system is implemented to be accurate in IDS by classifying network attacks
with the created dataset. And also, the attack classification is tested by using both off-line
and on-line alerts from the IDS. Then, the calculation of false alarm rate, the accuracy of
the system and the Percentage of Successful Prediction (PSP) are presented to be a good
IDS system by reducing the workload of human analyst while classifying network attacks.
Keywords
Intrusion Detection System (IDS)
Keywords
attack classification
Keywords
false alarm rate
Keywords
accuracy
Keywords
Percentage of Successful Prediction (PSP)
Journal articles
No. 4
YTU Journal of Engineering
68-75
Volume 2
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