Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The rapid growth in the usage of the internet had led to many serious security issues in the network. The intrusion detection system (IDS) is one of the sophisticated defensive systems used to detect the malicious activities happening in the network services across the world.Hence, more advanced IDS are been developed in past few years. To improve the performance of the IDS, the system has to be trained effectively to increase the efficiency and decrease the false alarm rate. To train the system the attributes selection plays the major role.This paper evaluates and compares the performance of the intrusion detection systems for different feature reduction techniques in high speed networks.
V. Jyothsn. 2014. \u201cA Comparative Study on Performance Evaluation of Intrusion Detection System through Feature Reduction for High Speed Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E7): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: India
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: V. Jyothsna, V. V. Rama Prasad (PhD/Dr. count: 0)
View Count (all-time): 231
Total Views (Real + Logic): 8518
Total Downloads (simulated): 2131
Publish Date: 2014 11, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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The rapid growth in the usage of the internet had led to many serious security issues in the network. The intrusion detection system (IDS) is one of the sophisticated defensive systems used to detect the malicious activities happening in the network services across the world.Hence, more advanced IDS are been developed in past few years. To improve the performance of the IDS, the system has to be trained effectively to increase the efficiency and decrease the false alarm rate. To train the system the attributes selection plays the major role.This paper evaluates and compares the performance of the intrusion detection systems for different feature reduction techniques in high speed networks.
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