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Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks

Ahmad, Iftikhar and Azween, Abdullah and Abdullah , S. Alghamdi (2010) Towards the Designing of a Robust Intrusion Detection System through an Optimized Advancement of Neural Networks. In: Advances in Computer Science and Information Technology. Lecture Notes in Computer Science, 6059 . SpringerLink , pp. 597-602.

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Abstract

The duty of securing networks is very difficult due to their size, complexity, diversity and dynamic situation. Currently applying neural networks in intrusion detection is a robust approach to ensure security in the network system. Further, neural networks are alternatives to other approaches in the area of intrusion detection. The main objective of this research is to present an adaptive, flexible and optimize neural network architecture for intrusion detection system that provides the potential to identify network activity in a robust way. The results of this work give directions to enhance security applications such as Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Adaptive Security Alliance (ASA), check points and firewalls and further guide to the security implementers.

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Research Institutes > Megacities
ID Code:2997
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:11 Nov 2010 04:17
Last Modified:31 Dec 2012 04:06

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