Abstract
Nowadays, the optimization of the representation of big data and their retrieving is actually among the hot studied issues. In this context, this paper proposes a management scheme that enables the representation and the retrieve of big data, even if it is structured or not, based on extended conceptual graphs and the use of structured marks. A case study is given to illustrate the way to represent the generated big data needed to respond to distributed denial of service attacks according to the proposed management scheme and how the querying of such data may help to learn unknown attack fragments.
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© 2014 Springer International Publishing Switzerland
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Djemaiel, Y., Essaddi, N., Boudriga, N. (2014). Optimizing Big Data Management Using Conceptual Graphs: A Mark-Based Approach. In: Abramowicz, W., Kokkinaki, A. (eds) Business Information Systems. BIS 2014. Lecture Notes in Business Information Processing, vol 176. Springer, Cham. https://doi.org/10.1007/978-3-319-06695-0_1
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DOI: https://doi.org/10.1007/978-3-319-06695-0_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06694-3
Online ISBN: 978-3-319-06695-0
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