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IAT
2007
IEEE
16 years 10 days ago
Network Intrusion Detection by Means of Community of Trusting Agents
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Martin Rehák, Michal Pechoucek, Karel Barto...
CCR
2008
76views more  CCR 2008»
15 years 6 months ago
WebClass: adding rigor to manual labeling of traffic anomalies
Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
Haakon Ringberg, Augustin Soule, Jennifer Rexford
BMCBI
2010
133views more  BMCBI 2010»
15 years 6 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
WORM
2003
15 years 7 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...
ICDCS
2006
IEEE
16 years 1 days ago
A DoS Resilient Flow-level Intrusion Detection Approach for High-speed Networks
Global-scale attacks like viruses and worms are increasing in frequency, severity and sophistication, making it critical to detect outbursts at routers/gateways instead of end hos...
Yan Gao, Zhichun Li, Yan Chen