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DIMVA
2009
13 years 5 months ago
Selecting and Improving System Call Models for Anomaly Detection
Alessandro Frossi, Federico Maggi, Gian Luigi Rizz...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
13 years 11 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
PODC
2010
ACM
13 years 8 months ago
Adaptive system anomaly prediction for large-scale hosting infrastructures
Large-scale hosting infrastructures require automatic system anomaly management to achieve continuous system operation. In this paper, we present a novel adaptive runtime anomaly ...
Yongmin Tan, Xiaohui Gu, Haixun Wang
USS
2008
13 years 7 months ago
FLAME: A Flow-Level Anomaly Modeling Engine
There are several remaining open questions in the area of flow-based anomaly detection, e.g., how to do meaningful evaluations of anomaly detection mechanisms; how to get conclusi...
Daniela Brauckhoff, Arno Wagner, Martin May
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 10 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai