Data mining and machine learning—towards reducing false positives in intrusion detection

T Pietraszek, A Tanner - Information security technical report, 2005 - Elsevier
Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs of
security violations. Having detected such signs, IDSs trigger alerts to report them. These …
被引用次数：212 相关文章

Data mining and machine learning-Towards reducing false positives in intrusion detection

T Pietraszek, A Tanner - Information Security Tech. Report, 2005 - dl.acm.org
Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs of
security violations. Having detected such signs, IDSs trigger alerts to report them. These …
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[PDF][PDF] Data Mining and Machine Learning—Towards Reducing False Positives in Intrusion Detection

T Pietraszeka, A Tannera - Citeseer
Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs of
security violations. Having detected such signs, IDSs trigger alerts to report them. These …

Data mining and machine learning—Towards reducing false positives in intrusion detection

T Pietraszek, A Tanner - Information Security Technical Report, 2005 - infona.pl
Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs of
security violations. Having detected such signs, IDSs trigger alerts to report them. These …

Data mining and machine learning-Towards reducing false positives in intrusion detection

T Pietraszek, A Tanner - Information Security Technical Report, 2005 - research.ibm.com
Abstract Intrusion Detection Systems (IDSs) are used to monitor computer systems for signs
of security violations. Having detected such signs, IDSs trigger alerts to report them. These …