543 search results - page 22 / 109 » Detecting anomalies in data streams using statecharts |
SAC
2004
ACM
14 years 1 months ago
2004
ACM
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...
IJCAI
2007
13 years 9 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
ECBS
2007
IEEE
13 years 9 months ago
2007
IEEE
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
ISCC
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this...
PAKDD
2010
ACM
14 years 13 days ago
2010
ACM
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...