The 1999 DARPA off-line intrusion detection evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue on recent advances in intrusion detection systems
Text classification using string kernels
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Fast String Kernels using Inexact Matching for Protein Sequences
The Journal of Machine Learning Research
Efficient Computation of Gapped Substring Kernels on Large Alphabets
The Journal of Machine Learning Research
Bioinformatics
Detecting unknown network attacks using language models
DIMVA'06 Proceedings of the Third international conference on Detection of Intrusions and Malware & Vulnerability Assessment
Linear-Time Computation of Similarity Measures for Sequential Data
The Journal of Machine Learning Research
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Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance functions and similarity coefficients for sequential data. Two proposed algorithms utilize different data structures for efficient computation and yield a runtime linear in the sequence length. Experiments on network data for intrusion detection suggest the importance of distances and even non-metric similarity measures for sequential data.