2024-03-29T09:48:19Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/5529
2021-12-13T05:01:36Z
1582963413512:1596119372420
user-ytu
Intrusion Detection System (IDS) for Alerting and Classifying Network Attacks
La Wunn Yee
Thanda Win
Htway Htway Hlaing
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.
2015-10-15
http://hdl.handle.net/20.500.12678/0000005529
https://meral.edu.mm/records/5529