PATRICIA—Practical Algorithm To Retrieve Information Coded in Alphanumeric
Journal of the ACM (JACM)
Aguri: An Aggregation-Based Traffic Profiler
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Mining anomalies using traffic feature distributions
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Dependency tree kernels for relation extraction
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A new intrusion detection system using support vector machines and hierarchical clustering
The VLDB Journal — The International Journal on Very Large Data Bases
Quantifying the Extent of IPv6 Deployment
PAM '09 Proceedings of the 10th International Conference on Passive and Active Network Measurement
Portscan Detection with Sampled NetFlow
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
Machine learning approach for IP-flow record anomaly detection
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
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This paper presents current work for the detection of anomalies in Netflow records by leveraging a kernel function method. Netflow records are spatially aggregated over time, such that the designed kernel function can capture topological and quantitative changes in network traffic time series.