Manuscript Number : IJSRST1841344
Detection of Intrusion Using Decision Tree Based Data Mining Technique
Authors(2) :-M. Chandrasekhar Varma, B Srinivasa S P Kumar Now a days computer attack has turned out to be exceptionally normal. Despite the fact that there are numerous current instruments for Intrusion detection, yet the primary issues is the security and precision of the system. This paper is presented with J48 decision tree data mining techniques as an intrusion detection system and ORNL (Oak Ridge National Laboratories) data set. This paper demonstrates that Decision trees gives higher precision than other regulated strategy.
M. Chandrasekhar Varma Decision tree, Data Mining, J48 algorithm, Intrusion Detection. Publication Details
Published in : Volume 4 | Issue 2 | January-February 2018 Article Preview
Assistant professor, Department of CSE, D.N.R College of Engineering and technology, Bhimavaram, Andhra Pradesh, India
B Srinivasa S P Kumar
Assistant Professor, Department of MCA, CBIT, Hyderabad, Telangana, India
Date of Publication : 2018-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1501-1507
Manuscript Number : IJSRST1841344
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST1841344
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