Abstract
In sampling of huge network traffic dataset, some packets are chosen out of total packets. Leftover packets may have effect on statistical characteristics of the data. In this paper effect of sampling on statistical characteristics is discussed. A well-known benchmarked NSL KDD network traffic dataset is used. Three sampling techniques namely - random, systematic and under-over sampling are used. Various attributes of dataset considered are duration, src_bytes, dst_bytes, wrong_fragment, num_compromised, num_file_ creations and srv_count. Parameter of statistical characteristics like range, mean and standard deviation is used for analysis purpose. Result shows that sampling has considerable statistical effect on network traffic dataset.
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KDD dataset, http://nsl.cs.unb.ca/NSL-KDD
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© 2014 Springer International Publishing Switzerland
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Singh, R., Kumar, H., Singla, R.K. (2014). Analyzing Statistical Effect of Sampling on Network Traffic Dataset. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_43
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DOI: https://doi.org/10.1007/978-3-319-03107-1_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
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