Intelligent Firewall Using Intrusion Detection System Based on Neural Networks
Published: 2014
Author(s) Name: Mandar Dinesh Sawant, Madhura Milind Phatak, Mrugank Ajay Ranavde, Nitya R. Laxamanan |
Author(s) Affiliation: Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai, Maharashtra, India
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Abstract
Intrusion detection plays an important role in
todays computers and communication technology. It is therefore very important to design an Intrusion Detection System (IDS) efficient in time that has low False Positive Rate (FPR) and False Negative Rate (FNR). A combined mechanism of packet filtering and IDS based on Artificial Neural Networks (ANNs) and rule matching is implemented to prevent network attacks with improved accuracy. An integration of the IDS with the firewall would increase the security levels to a great extent.
Keywords: Intrusion Detection, Intelligent Firewall, Neural Network
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