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» A nonself space approach to network anomaly detection
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ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
15 years 4 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
15 years 3 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
ASPLOS
2010
ACM
15 years 4 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
78
Voted
CN
2007
137views more  CN 2007»
14 years 9 months ago
Defending against hitlist worms using network address space randomization
Worms are self-replicating malicious programs that represent a major security threat for the Internet, as they can infect and damage a large number of vulnerable hosts at timescal...
Spyros Antonatos, Periklis Akritidis, Evangelos P....
81
Voted
EOR
2008
90views more  EOR 2008»
14 years 9 months ago
Quality of service statistics over heterogeneous networks: Analysis and applications
Heterogeneous wireless/wired networks and ubiquitous environments are gaining ever more attention by research community. To properly control and manage such puzzles a deep knowled...
Alessio Botta, Antonio Pescapè, Giorgio Ven...