Journal of Network and Information Security

2014 | Volume 2 | Issue Issue 2

Intelligent Firewall Using Intrusion Detection System Based on Neural Networks

1. Mandar Dinesh Sawant – Department Of Computer Engineering, K. J. Somaiya College Of Engineering, Mumbai, Maharashtra, India

2. Madhura Milind Phatak – Department Of Computer Engineering, K. J. Somaiya College Of Engineering, Mumbai, Maharashtra, India

3. Mrugank Ajay Ranavde – Department Of Computer Engineering, K. J. Somaiya College Of Engineering, Mumbai, Maharashtra, India

4. Nitya R. Laxamanan – Department Of Computer Engineering, K. J. Somaiya College Of Engineering, Mumbai, Maharashtra, India

Received
18-Apr-2015 		Accepted
- 		Published
18-Apr-2015
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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