TY  - JOUR
T1  - A Method Based on Data Mining for Detection of Intrusion in Distributed Databases
AU - Gudakahriz, Sajad Jahanbakhsh AU - Yaghoobzadeh, Mohammadreza AU - Somarin, Abbas Mirzaei AU - Mohajer, Amin 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 7
SP  - 1493
EP  - 1501
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.1493.1501
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.1493.1501
KW  - distributed databases
KW  -intrusion detection
KW  -Data mining
KW  -CPE
KW  -Iran
AB  - 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.
ER  -