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» A behavioral approach to worm detection
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AAAI
2012
13 years 3 hour ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...
92
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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
14 years 11 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
SIGMETRICS
2003
ACM
136views Hardware» more  SIGMETRICS 2003»
15 years 2 months ago
Internet intrusions: global characteristics and prevalence
Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...
Vinod Yegneswaran, Paul Barford, Johannes Ullrich
IM
2007
14 years 11 months ago
Real-time Analysis of Flow Data for Network Attack Detection
— With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow data has become an important research area. It has been shown that flow data ca...
Gerhard Münz, Georg Carle
COMPSEC
2008
113views more  COMPSEC 2008»
14 years 9 months ago
Automated containment of rootkits attacks
Abstract-- Rootkit attacks are a serious threat to computer systems. Packaged with other malware such as worms, viruses and spyware, rootkits pose a more potent threat than ever be...
Arati Baliga, Liviu Iftode, Xiaoxin Chen