Paper Title :Identifying The Problem & Solution Of False Positive
Author :Pratik Jain, Gaurav Jain, Vivek Rai
Article Citation :Pratik Jain ,Gaurav Jain ,Vivek Rai ,
(2014 ) " Identifying The Problem & Solution Of False Positive " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 82-84,
Volume-2,Issue-10
Abstract : We know that, Intrusion Detection System (IDS) has become an integral part of any network. They became easy
way to detect anomalies. What is required now is to have an efficient system having high accuracy and detection rate as well
as low false alarm rate. Most of the previously proposed methods suffer from the drawback of k-means method with low
detection rate and high false alarm rate. In this paper, we are considering one scenario of false positive. The false positive is
the case in which the normal data is detected as attack. We are focusing on this problem with one example & proposing one
solution for the same problem. The KDD CUP 1999 data set is used. Experimental results show that the class consider as an
anomaly class if it have high number of count. But if the true person is crossing the threshold value of count it will be count
as anomaly. So, to detect the true person & to remove false positive, we have proposed one solution.
Type : Research paper
Published : Volume-2,Issue-10
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-1331
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Copyright: © Institute of Research and Journals
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Published on 2014-10-01 |
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