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Gireesh Kumar, T.
- Network Intrusion Detection System Based on Machine Learning Algorithms
Abstract Views :366 |
PDF Views:274
Authors
Vipin Das
1,
Vijaya Pathak
1,
Sattvik Sharma
1,
Sreevathsan
1,
M. V. V. N. S. Srikanth
1,
T. Gireesh Kumar
1
Affiliations
1 Amrita Vishwa Vidyapeetham, Coimbatore-641105, Tamil Nadu, IN
1 Amrita Vishwa Vidyapeetham, Coimbatore-641105, Tamil Nadu, IN
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 2, No 6 (2010), Pagination: 138-151Abstract
Network and system security is of paramount importance in the present data communication environment. Hackers and intruders can create many successful attempts to cause the crash of the networks and web services by unauthorized intrusion. New threats and associated solutions to prevent these threats are emerging together with the secured system evolution. Intrusion Detection Systems (IDS) are one of these solutions. The main function of Intrusion Detection System is to protect the resources from threats. It analyzes and predicts the behaviours of users, and then these behaviours will be considered an attack or a normal behaviour. We use Rough Set Theory (RST) and Support Vector Machine (SVM) to detect network intrusions. First, packets are captured from the network, RST is used to pre-process the data and reduce the dimensions. The features selected by RST will be sent to SVM model to learn and test respectively. The method is effective to decrease the space density of data. The experiments compare the results with Principal Component Analysis (PCA) and show RST and SVM schema could reduce the false positive rate and increase the accuracy.Keywords
IDS, RST, SVM, PCA.- Occurrence of White Gelatinous Foam on the Beaches of Kollam (Southwest Coast of India) Due to the Senescent Bloom of Phaeocystis Globosa
Abstract Views :217 |
PDF Views:71
Authors
N. V. Madhu
1,
P. Anil
1,
C. R. Vishal
1,
K. R. Muraleedharan
1,
A. Parvathi
1,
T. Gireesh Kumar
1,
K. S. Arya
1,
S. Hafza
1
Affiliations
1 CSIR-National Institute of Oceanography, Regional Centre, Kochi 682 018, IN
1 CSIR-National Institute of Oceanography, Regional Centre, Kochi 682 018, IN