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» Detecting anomalies in data streams using statecharts
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IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
15 years 4 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
PAKDD
2005
ACM
146views Data Mining» more  PAKDD 2005»
15 years 3 months ago
An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning ...
ICASSP
2011
IEEE
14 years 1 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
15 years 10 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
ACSAC
2003
IEEE
15 years 3 months ago
Log Correlation for Intrusion Detection: A Proof of Concept
Intrusion detection is an important part of networkedsystems security protection. Although commercial products exist, finding intrusions has proven to be a difficult task with l...
Cristina Abad, Jed Taylor, Cigdem Sengul, William ...