An Adaptive and Cost-Sensitive Learning Model for False Alarm Reduction in IDSs
碩士 === 國立臺灣科技大學 === 資訊工程系 === 95 === Intrusion Detection System (IDS) is a software system or hardware device deployed to monitor host activities and network to detect intrusions, which are actions that attempt to compromise the confidentiality, integrity and availability of computer resources. Neve...
Main Authors: | Kuei-Lin Yang, 楊貴麟 |
---|---|
Other Authors: | Yuh-Jye Lee |
Format: | Others |
Language: | en_US |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/44yjdq |
Similar Items
-
Incremental Adaptive Learning and Alert Grouping for False Alarm Reduction in Intrusion Detection
by: Heng-Sheng Lin, et al.
Published: (2007) -
Composições de IDSs
by: Brandão, José Eduardo Malta de Sá
Published: (2012) -
False Alarm Reduction in Maritime Surveillance
by: Erik, Bergenholtz
Published: (2016) -
False alarm reduction in critical care
by: Clifford, Gari D, et al.
Published: (2017) -
An Analysis and Comparison of The Security Features of Firewalls and IDSs
by: Sulaman, Sardar Muhammad
Published: (2011)