Abstract
There is often the need to detect currently intrusion and new attacks in existed Intursion Detection System (IDS) due to customers’ demands. Since traditional data mining-based IDSs contructed on the basis of historied data, systems are expensive and not real time. In this paper, we present an overview of our research in real time time-series mining-based intrusion detection systems. At first we describe multidimensional spatial model of network events, then present time-series minging-based architecture model and finally discuss real time approaches for systems. We focus on the issues related to deploying an accurate and efficient time-series mining-based IDS in a real time environment.
This paper is supported by National Natural Science Foundation of China (Contract No. 60273075)
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References
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Zhao, F., Li, QH., Zhao, YB. (2004). Real Time Approaches for Time-Series Mining-Based IDS. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_128
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DOI: https://doi.org/10.1007/978-3-540-30208-7_128
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23564-4
Online ISBN: 978-3-540-30208-7
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