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» Using Unsupervised Learning for Network Alert Correlation
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ACMSE
2005
ACM
13 years 11 months ago
Alert confidence fusion in intrusion detection systems with extended Dempster-Shafer theory
Accurate identification of misuse is a key factor in determining appropriate ways to protect systems. Modern intrusion detection systems often use alerts from different sources su...
Dong Yu, Deborah A. Frincke
ESORICS
2004
Springer
13 years 11 months ago
Discovering Novel Attack Strategies from INFOSEC Alerts
Abstract. Correlating security alerts and discovering attack strategies are important and challenging tasks for security analysts. Recently, there have been several proposed techni...
Xinzhou Qin, Wenke Lee
LISA
2007
13 years 7 months ago
ATLANTIDES: An Architecture for Alert Verification in Network Intrusion Detection Systems
We present an architecture1 designed for alert verification (i.e., to reduce false positives) in network intrusion-detection systems. Our technique is based on a systematic (and a...
Damiano Bolzoni, Bruno Crispo, Sandro Etalle
CAI
2005
Springer
13 years 5 months ago
Development of Threat Evaluation Tool for Distributed Network Environment
Current information protection systems only detect and warn against individual intrusion, and are not able to provide a collective and synthesized alert message. In this paper, we ...
Keun-Hee Han, Il-Gon Kim, Kang-Won Lee, Ji-Yeon Ch...
LISA
2004
13 years 7 months ago
Real-time Log File Analysis Using the Simple Event Correlator (SEC)
Originally published at Usenix LISA 2004 conference. November 2004 Atlanta, Georiga, USA. Log analysis is an important way to keep track of computers and networks. The use of auto...
John P. Rouillard