Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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Abstract
Increasing growth of distributed databases on one hand and attack to distributed networks on the other hand resulted in an important research area in the security of databases. The aim of this study is to introduce systems of intrusion detection based on data mining for detection of intrusion in distributed databases. Here, by proposing a model and another one in its heart, we intend to find the pattern of attacks. To test the efficiency of the model, among test dataset, each one containing 12000 records are selected randomly and the efficiency of the model is evaluated by this dataset. Results of tests illustrate the suitable performance of the proposed system. Criteria such as: CPE criterion and obtained detection rate reveal the suitable performance of the proposed system.
How to cite this article:
Sajad Jahanbakhsh Gudakahriz, Mohammadreza Yaghoobzadeh, Abbas Mirzaei Somarin and Amin Mohajer. A Method Based on Data Mining for Detection of Intrusion in Distributed Databases.
DOI: https://doi.org/10.36478/jeasci.2016.1493.1501
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.1493.1501