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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 27 days ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
DISCEX
2003
IEEE
13 years 10 months ago
Detecting Novel Scans Through Pattern Anomaly Detection
We introduce a technique for detecting anomalous patterns in a categorical feature (one that takes values from a finite alphabet). It differs from most anomaly detection methods u...
Alfonso Valdes
DEXAW
2006
IEEE
116views Database» more  DEXAW 2006»
13 years 11 months ago
Architecture Evaluation for Distributed Auto-ID Systems
Auto-ID technologies allow capturing the time and location of products in the supply chain for tracking and tracing. This paves the way for a variety of business applications, suc...
Hong Hai Do, Jürgen Anke, Gregor Hackenbroich
IEEEIAS
2008
IEEE
13 years 11 months ago
Matrix Factorization Approach for Feature Deduction and Design of Intrusion Detection Systems
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything...
Václav Snásel, Jan Platos, Pavel Kr&...
ISICA
2009
Springer
13 years 12 months ago
Detecting Network Anomalies Using CUSUM and EM Clustering
Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types and ...
Wei Lu, Hengjian Tong